diff --git a/configs/inpainting/deepfillv1/README.md b/configs/inpainting/deepfillv1/README.md index 611c8b0be9..9a120c3406 100644 --- a/configs/inpainting/deepfillv1/README.md +++ b/configs/inpainting/deepfillv1/README.md @@ -18,13 +18,13 @@ ## Results and models ### Places365-Challenge -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :--------: | :---------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| DeepFillv1 | square bbox | 256x256 | 3500k | Places365-val | 11.019 | 23.429 | 0.862 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :--------------------------------------------------------------------------: | :---------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [DeepFillv1](/configs/inpainting/deepfillv1/deepfillv1_256x256_8x2_places.py) | square bbox | 256x256 | 3500k | Places365-val | 11.019 | 23.429 | 0.862 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_8x2_places_20200619-c00a0e21.log.json) | ### CelebA-HQ -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :--------: | :---------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| DeepFillv1 | square bbox | 256x256 | 1500k | CelebA-val | 6.677 | 26.878 | 0.911 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :--------------------------------------------------------------------------: | :---------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [DeepFillv1](/configs/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba.py) | square bbox | 256x256 | 1500k | CelebA-val | 6.677 | 26.878 | 0.911 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv1/deepfillv1_256x256_4x4_celeba_20200619-dd51a855.log.json) | diff --git a/configs/inpainting/deepfillv2/README.md b/configs/inpainting/deepfillv2/README.md index 3833611984..3673e47721 100644 --- a/configs/inpainting/deepfillv2/README.md +++ b/configs/inpainting/deepfillv2/README.md @@ -18,12 +18,12 @@ ### Places365-Challenge -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :--------: | :-------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| DeepFillv2 | free-form | 256x256 | 100k | Places365-val | 8.635 | 22.398 | 0.815 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :--------------------------------------------------------------------------: | :-------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [DeepFillv2](/configs/inpainting/deepfillv2/deepfillv2_256x256_8x2_places.py) | free-form | 256x256 | 100k | Places365-val | 8.635 | 22.398 | 0.815 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_places_20200619-10d15793.log.json) | ### CelebA-HQ -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :--------: | :-------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| DeepFillv2 | free-form | 256x256 | 20k | CelebA-val | 5.411 | 25.721 | 0.871 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :--------------------------------------------------------------------------: | :-------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [DeepFillv2](/configs/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba.py) | free-form | 256x256 | 20k | CelebA-val | 5.411 | 25.721 | 0.871 | [model](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/deepfillv2/deepfillv2_256x256_8x2_celeba_20200619-c96e5f12.log.json) | diff --git a/configs/inpainting/global_local/README.md b/configs/inpainting/global_local/README.md index 3d8f846b99..f7d7009c36 100644 --- a/configs/inpainting/global_local/README.md +++ b/configs/inpainting/global_local/README.md @@ -23,12 +23,12 @@ ### Places365-Challenge -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :----------: | :---------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| Global&Local | square bbox | 256x256 | 500k | Places365-val | 11.164 | 23.152 | 0.862 | [model](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_places_20200619-52a040a8.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_places_20200619-52a040a8.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :-----------------------------------------------------------------------: | :---------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [Global&Local](/configs/inpainting/global_local/gl_256x256_8x12_places.py) | square bbox | 256x256 | 500k | Places365-val | 11.164 | 23.152 | 0.862 | [model](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_places_20200619-52a040a8.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_places_20200619-52a040a8.log.json) | ### CelebA-HQ -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :----------: | :---------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| Global&Local | square bbox | 256x256 | 500k | CelebA-val | 6.678 | 26.780 | 0.904 | [model](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_celeba_20200619-5af0493f.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_celeba_20200619-5af0493f.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :-----------------------------------------------------------------------: | :---------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [Global&Local](/configs/inpainting/global_local/gl_256x256_8x12_celeba.py) | square bbox | 256x256 | 500k | CelebA-val | 6.678 | 26.780 | 0.904 | [model](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_celeba_20200619-5af0493f.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/global_local/gl_256x256_8x12_celeba_20200619-5af0493f.log.json) | diff --git a/configs/inpainting/partial_conv/README.md b/configs/inpainting/partial_conv/README.md index cc6f396f51..881dcf9ceb 100644 --- a/configs/inpainting/partial_conv/README.md +++ b/configs/inpainting/partial_conv/README.md @@ -18,12 +18,12 @@ ### Places365-Challenge -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :----: | :-------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| PConv | free-form | 256x256 | 500k | Places365-val | 8.776 | 22.762 | 0.801 | [model](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_places_20200619-1ffed0e8.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_places_20200619-1ffed0e8.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :-------------------------------------------------------------------------: | :-------: | :--------: | :---------: | :-----------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [PConv](/configs/inpainting/partial_conv/pconv_256x256_stage2_4x2_places.py) | free-form | 256x256 | 500k | Places365-val | 8.776 | 22.762 | 0.801 | [model](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_places_20200619-1ffed0e8.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_places_20200619-1ffed0e8.log.json) | ### CelebA-HQ -| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | -| :----: | :-------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| PConv | free-form | 256x256 | 500k | CelebA-val | 5.990 | 25.404 | 0.853 | [model](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_celeba_20200619-860f8b95.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_celeba_20200619-860f8b95.log.json) | +| Method | Mask Type | Resolution | Train Iters | Test Set | l1 error | PSNR | SSIM | Download | +| :-------------------------------------------------------------------------: | :-------: | :--------: | :---------: | :--------: | :------: | :----: | :---: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [PConv](/configs/inpainting/partial_conv/pconv_256x256_stage2_4x2_celeba.py) | free-form | 256x256 | 500k | CelebA-val | 5.990 | 25.404 | 0.853 | [model](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_celeba_20200619-860f8b95.pth) \| [log](https://download.openmmlab.com/mmediting/inpainting/pconv/pconv_256x256_stage2_4x2_celeba_20200619-860f8b95.log.json) | diff --git a/configs/mattors/dim/README.md b/configs/mattors/dim/README.md index 85915ae6d4..01ad5cc5cb 100644 --- a/configs/mattors/dim/README.md +++ b/configs/mattors/dim/README.md @@ -16,13 +16,13 @@ ## Results and Models -| Method | SAD | MSE | GRAD | CONN | Download | -| :------------: | :------: | :-------: | :------: | :------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| stage1 (paper) | 54.6 | 0.017 | 36.7 | 55.3 | - | -| stage3 (paper) | **50.4** | **0.014** | 31.0 | 50.8 | - | -| stage1 (our) | 53.8 | 0.017 | 32.7 | 54.5 | [model](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage1_v16_1x1_1000k_comp1k_SAD-53.8_20200605_140257-979a420f.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage1_v16_1x1_1000k_comp1k_20200605_140257.log.json) | -| stage2 (our) | 52.3 | 0.016 | 29.4 | 52.4 | [model](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage2_v16_pln_1x1_1000k_comp1k_SAD-52.3_20200607_171909-d83c4775.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage2_v16_pln_1x1_1000k_comp1k_20200607_171909.log.json) | -| stage3 (our) | 50.6 | 0.015 | **29.0** | **50.7** | [model](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage3_v16_pln_1x1_1000k_comp1k_SAD-50.6_20200609_111851-647f24b6.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage3_v16_pln_1x1_1000k_comp1k_20200609_111851.log.json) | +| Method | SAD | MSE | GRAD | CONN | Download | +| :------------------------------------------------------------------------: | :------: | :-------: | :------: | :------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| stage1 (paper) | 54.6 | 0.017 | 36.7 | 55.3 | - | +| stage3 (paper) | **50.4** | **0.014** | 31.0 | 50.8 | - | +| [stage1 (our)](/configs/mattors/dim/dim_stage1_v16_1x1_1000k_comp1k.py) | 53.8 | 0.017 | 32.7 | 54.5 | [model](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage1_v16_1x1_1000k_comp1k_SAD-53.8_20200605_140257-979a420f.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage1_v16_1x1_1000k_comp1k_20200605_140257.log.json) | +| [stage2 (our)](/configs/mattors/dim/dim_stage2_v16_pln_1x1_1000k_comp1k.py) | 52.3 | 0.016 | 29.4 | 52.4 | [model](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage2_v16_pln_1x1_1000k_comp1k_SAD-52.3_20200607_171909-d83c4775.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage2_v16_pln_1x1_1000k_comp1k_20200607_171909.log.json) | +| [stage3 (our)](/configs/mattors/dim/dim_stage3_v16_pln_1x1_1000k_comp1k.py) | 50.6 | 0.015 | **29.0** | **50.7** | [model](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage3_v16_pln_1x1_1000k_comp1k_SAD-50.6_20200609_111851-647f24b6.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/dim/dim_stage3_v16_pln_1x1_1000k_comp1k_20200609_111851.log.json) | **NOTE** diff --git a/configs/mattors/gca/README.md b/configs/mattors/gca/README.md index 713343307b..fcdf01d41f 100644 --- a/configs/mattors/gca/README.md +++ b/configs/mattors/gca/README.md @@ -15,16 +15,16 @@ ## Results and Models -| Method | SAD | MSE | GRAD | CONN | Download | -| :--------------: | :-------: | :--------: | :-------: | :-------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| baseline (paper) | 40.62 | 0.0106 | 21.53 | 38.43 | - | -| GCA (paper) | 35.28 | 0.0091 | 16.92 | 32.53 | - | -| baseline (our) | 36.50 | 0.0090 | 17.40 | 34.33 | [model](https://download.openmmlab.com/mmediting/mattors/gca/baseline_r34_4x10_200k_comp1k_SAD-36.50_20200614_105701-95be1750.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/baseline_r34_4x10_200k_comp1k_20200614_105701.log.json) | -| GCA (our) | **34.77** | **0.0080** | **16.33** | **32.20** | [model](https://download.openmmlab.com/mmediting/mattors/gca/gca_r34_4x10_200k_comp1k_SAD-34.77_20200604_213848-4369bea0.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/gca_r34_4x10_200k_comp1k_20200604_213848.log.json) | +| Method | SAD | MSE | GRAD | CONN | Download | +| :--------------------------------------------------------------------: | :-------: | :--------: | :-------: | :-------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| baseline (paper) | 40.62 | 0.0106 | 21.53 | 38.43 | - | +| GCA (paper) | 35.28 | 0.0091 | 16.92 | 32.53 | - | +| [baseline (our)](/configs/mattors/gca/baseline_r34_4x10_200k_comp1k.py) | 36.50 | 0.0090 | 17.40 | 34.33 | [model](https://download.openmmlab.com/mmediting/mattors/gca/baseline_r34_4x10_200k_comp1k_SAD-36.50_20200614_105701-95be1750.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/baseline_r34_4x10_200k_comp1k_20200614_105701.log.json) | +| [GCA (our)](/configs/mattors/gca/gca_r34_4x10_200k_comp1k.py) | **34.77** | **0.0080** | **16.33** | **32.20** | [model](https://download.openmmlab.com/mmediting/mattors/gca/gca_r34_4x10_200k_comp1k_SAD-34.77_20200604_213848-4369bea0.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/gca_r34_4x10_200k_comp1k_20200604_213848.log.json) | ### More results -| Method | SAD | MSE | GRAD | CONN | Download | -| :--------------------------: | :---: | :----: | :---: | :---: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| baseline (with DIM pipeline) | 49.95 | 0.0144 | 30.21 | 49.67 | [model](https://download.openmmlab.com/mmediting/mattors/gca/baseline_dimaug_r34_4x10_200k_comp1k_SAD-49.95_20200626_231612-535c9a11.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/baseline_dimaug_r34_4x10_200k_comp1k_20200626_231612.log.json) | -| GCA (with DIM pipeline) | 49.42 | 0.0129 | 28.07 | 49.47 | [model](https://download.openmmlab.com/mmediting/mattors/gca/gca_dimaug_r34_4x10_200k_comp1k_SAD-49.42_20200626_231422-8e9cc127.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/gca_dimaug_r34_4x10_200k_comp1k_20200626_231422.log.json) | +| Method | SAD | MSE | GRAD | CONN | Download | +| :-----------------------------------------------------------------------------------------: | :---: | :----: | :---: | :---: | :--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [baseline (with DIM pipeline)](/configs/mattors/gca/baseline_dimaug_r34_4x10_200k_comp1k.py) | 49.95 | 0.0144 | 30.21 | 49.67 | [model](https://download.openmmlab.com/mmediting/mattors/gca/baseline_dimaug_r34_4x10_200k_comp1k_SAD-49.95_20200626_231612-535c9a11.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/baseline_dimaug_r34_4x10_200k_comp1k_20200626_231612.log.json) | +| [GCA (with DIM pipeline)](/configs/mattors/gca/gca_dimaug_r34_4x10_200k_comp1k.py) | 49.42 | 0.0129 | 28.07 | 49.47 | [model](https://download.openmmlab.com/mmediting/mattors/gca/gca_dimaug_r34_4x10_200k_comp1k_SAD-49.42_20200626_231422-8e9cc127.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/gca/gca_dimaug_r34_4x10_200k_comp1k_20200626_231422.log.json) | diff --git a/configs/mattors/indexnet/README.md b/configs/mattors/indexnet/README.md index ceef0c9fa6..6a69e195c5 100644 --- a/configs/mattors/indexnet/README.md +++ b/configs/mattors/indexnet/README.md @@ -15,15 +15,15 @@ ## Results and Models -| Method | SAD | MSE | GRAD | CONN | Download | -| :--------------: | :------: | :-------: | :------: | :------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| M2O DINs (paper) | 45.8 | 0.013 | 25.9 | **43.7** | - | -| M2O DINs (our) | **45.6** | **0.012** | **25.5** | 44.8 | [model](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_mobv2_1x16_78k_comp1k_SAD-45.6_20200618_173817-26dd258d.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_mobv2_1x16_78k_comp1k_20200618_173817.log.json) | +| Method | SAD | MSE | GRAD | CONN | Download | +| :--------------------------------------------------------------------------: | :------: | :-------: | :------: | :------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| M2O DINs (paper) | 45.8 | 0.013 | 25.9 | **43.7** | - | +| [M2O DINs (our)](/configs/mattors/indexnet/indexnet_mobv2_1x16_78k_comp1k.py) | **45.6** | **0.012** | **25.5** | 44.8 | [model](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_mobv2_1x16_78k_comp1k_SAD-45.6_20200618_173817-26dd258d.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_mobv2_1x16_78k_comp1k_20200618_173817.log.json) | > The performance of training (best performance) with different random seeds diverges in a large range. You may need to run several experiments for each setting to obtain the above performance. ### More result -| Method | SAD | MSE | GRAD | CONN | Download | -| :--------------------------: | :---: | :---: | :---: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| M2O DINs (with DIM pipeline) | 50.1 | 0.016 | 30.8 | 49.5 | [model](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_dimaug_mobv2_1x16_78k_comp1k_SAD-50.1_20200626_231857-af359436.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_dimaug_mobv2_1x16_78k_comp1k_20200626_231857.log.json) | +| Method | SAD | MSE | GRAD | CONN | Download | +| :-----------------------------------------------------------------------------------------------: | :---: | :---: | :---: | :---: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [M2O DINs (with DIM pipeline)](/configs/mattors/indexnet/indexnet_dimaug_mobv2_1x16_78k_comp1k.py) | 50.1 | 0.016 | 30.8 | 49.5 | [model](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_dimaug_mobv2_1x16_78k_comp1k_SAD-50.1_20200626_231857-af359436.pth) \| [log](https://download.openmmlab.com/mmediting/mattors/indexnet/indexnet_dimaug_mobv2_1x16_78k_comp1k_20200626_231857.log.json) | diff --git a/configs/restorers/edsr/README.md b/configs/restorers/edsr/README.md index 5f159efb3b..2d6aabec18 100644 --- a/configs/restorers/edsr/README.md +++ b/configs/restorers/edsr/README.md @@ -20,8 +20,8 @@ Evaluated on RGB channels, `scale` pixels in each border are cropped before eval The metrics are `PSNR / SSIM`. -| Method | Set5 | Set14 | DIV2K | Download | -| :---------------------------: | :--------------: | :--------------: | :--------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| edsr_x2c64b16_1x16_300k_div2k | 35.7592 / 0.9372 | 31.4290 / 0.8874 | 34.5896 / 0.9352 | [model](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x2c64b16_1x16_300k_div2k_20200604-19fe95ea.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x2c64b16_1x16_300k_div2k_20200604_221933.log.json) | -| edsr_x3c64b16_1x16_300k_div2k | 32.3301 / 0.8912 | 28.4125 / 0.8022 | 30.9154 / 0.8711 | [model](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x3c64b16_1x16_300k_div2k_20200608-36d896f4.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x3c64b16_1x16_300k_div2k_20200608_114850.log.json) | -| edsr_x4c64b16_1x16_300k_div2k | 30.2223 / 0.8500 | 26.7870 / 0.7366 | 28.9675 / 0.8172 | [model](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x4c64b16_1x16_300k_div2k_20200608-3c2af8a3.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x4c64b16_1x16_300k_div2k_20200608_115148.log.json) | +| Method | Set5 | Set14 | DIV2K | Download | +| :------------------------------------------------------------------------------------: | :--------------: | :--------------: | :--------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [edsr_x2c64b16_1x16_300k_div2k](/configs/restorers/edsr/edsr_x2c64b16_g1_300k_div2k.py) | 35.7592 / 0.9372 | 31.4290 / 0.8874 | 34.5896 / 0.9352 | [model](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x2c64b16_1x16_300k_div2k_20200604-19fe95ea.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x2c64b16_1x16_300k_div2k_20200604_221933.log.json) | +| [edsr_x3c64b16_1x16_300k_div2k](/configs/restorers/edsr/edsr_x3c64b16_g1_300k_div2k.py) | 32.3301 / 0.8912 | 28.4125 / 0.8022 | 30.9154 / 0.8711 | [model](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x3c64b16_1x16_300k_div2k_20200608-36d896f4.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x3c64b16_1x16_300k_div2k_20200608_114850.log.json) | +| [edsr_x4c64b16_1x16_300k_div2k](/configs/restorers/edsr/edsr_x4c64b16_g1_300k_div2k.py) | 30.2223 / 0.8500 | 26.7870 / 0.7366 | 28.9675 / 0.8172 | [model](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x4c64b16_1x16_300k_div2k_20200608-3c2af8a3.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edsr/edsr_x4c64b16_1x16_300k_div2k_20200608_115148.log.json) | diff --git a/configs/restorers/edvr/README.md b/configs/restorers/edvr/README.md index fdf9a80689..3f72419621 100644 --- a/configs/restorers/edvr/README.md +++ b/configs/restorers/edvr/README.md @@ -20,7 +20,7 @@ Evaluated on RGB channels. The metrics are `PSNR / SSIM`. -| Method | REDS4 | Download | -| :--------------------------: | :---------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| edvrm_wotsa_x4_8x4_600k_reds | 30.3430 / 0.8664 | [model](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522-0570e567.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522_141644.log.json) | -| edvrm_x4_8x4_600k_reds | 30.4194 / 0.8684 | [model](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_x4_8x4_600k_reds_20200622-ba4a43e4.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_x4_8x4_600k_reds_20200622_102544.log.json) | +| Method | REDS4 | Download | +| :-----------------------------------------------------------------------------------: | :---------------: | :-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [edvrm_wotsa_x4_8x4_600k_reds](/configs/restorers/edvr/edvrm_wotsa_x4_g8_600k_reds.py) | 30.3430 / 0.8664 | [model](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522-0570e567.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_wotsa_x4_8x4_600k_reds_20200522_141644.log.json) | +| [edvrm_x4_8x4_600k_reds](/configs/restorers/edvr/edvrm_x4_g8_600k_reds.py) | 30.4194 / 0.8684 | [model](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_x4_8x4_600k_reds_20200622-ba4a43e4.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/edvr/edvrm_x4_8x4_600k_reds_20200622_102544.log.json) | diff --git a/configs/restorers/esrgan/README.md b/configs/restorers/esrgan/README.md index b87c1b31a0..158f9a5a19 100644 --- a/configs/restorers/esrgan/README.md +++ b/configs/restorers/esrgan/README.md @@ -20,7 +20,7 @@ Evaluated on RGB channels, `scale` pixels in each border are cropped before eval The metrics are `PSNR / SSIM`. -| Method | Set5 | Set14 | DIV2K | Download | -| :--------------------------------------: | :---------------: | :--------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| esrgan_psnr_x4c64b23g32_1x16_1000k_div2k | 30.6428 / 0.8559 | 27.0543 / 0.7447 | 29.3354 / 0.8263 | [model](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_psnr_x4c64b23g32_1x16_1000k_div2k_20200420-bf5c993c.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_psnr_x4c64b23g32_1x16_1000k_div2k_20200420_112550.log.json) | -| esrgan_x4c64b23g32_1x16_400k_div2k | 28.2700 / 0.7778 | 24.6328 / 0.6491 | 26.6531 / 0.7340 | [model](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_x4c64b23g32_1x16_400k_div2k_20200508-f8ccaf3b.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_x4c64b23g32_1x16_400k_div2k_20200508_191042.log.json) | +| Method | Set5 | Set14 | DIV2K | Download | +| :------------------------------------------------------------------------------------------------------------: | :---------------: | :--------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [esrgan_psnr_x4c64b23g32_1x16_1000k_div2k](/configs/restorers/esrgan/esrgan_psnr_x4c64b23g32_g1_1000k_div2k.py) | 30.6428 / 0.8559 | 27.0543 / 0.7447 | 29.3354 / 0.8263 | [model](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_psnr_x4c64b23g32_1x16_1000k_div2k_20200420-bf5c993c.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_psnr_x4c64b23g32_1x16_1000k_div2k_20200420_112550.log.json) | +| [esrgan_x4c64b23g32_1x16_400k_div2k](/configs/restorers/esrgan/esrgan_x4c64b23g32_g1_400k_div2k.py) | 28.2700 / 0.7778 | 24.6328 / 0.6491 | 26.6531 / 0.7340 | [model](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_x4c64b23g32_1x16_400k_div2k_20200508-f8ccaf3b.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/esrgan/esrgan_x4c64b23g32_1x16_400k_div2k_20200508_191042.log.json) | diff --git a/configs/restorers/srcnn/README.md b/configs/restorers/srcnn/README.md index a585df2e83..fa648986ee 100644 --- a/configs/restorers/srcnn/README.md +++ b/configs/restorers/srcnn/README.md @@ -23,6 +23,6 @@ Evaluated on RGB channels, `scale` pixels in each border are cropped before eval The metrics are `PSNR / SSIM`. -| Method | Set5 | Set14 | DIV2K | Download | -| :---------------------------: | :--------------: | :---------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| srcnn_x4k915_1x16_1000k_div2k | 28.4316 / 0.8099 | 25.6486 / 0.7014 | 27.7460 / 0.7854 | [model](https://download.openmmlab.com/mmediting/restorers/srcnn/srcnn_x4k915_1x16_1000k_div2k_20200608-4186f232.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/srcnn/srcnn_x4k915_1x16_1000k_div2k_20200608_120159.log.json) | +| Method | Set5 | Set14 | DIV2K | Download | +| :-------------------------------------------------------------------------------------: | :--------------: | :---------------: | :--------------: | :---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [srcnn_x4k915_1x16_1000k_div2k](/configs/restorers/srcnn/srcnn_x4k915_g1_1000k_div2k.py) | 28.4316 / 0.8099 | 25.6486 / 0.7014 | 27.7460 / 0.7854 | [model](https://download.openmmlab.com/mmediting/restorers/srcnn/srcnn_x4k915_1x16_1000k_div2k_20200608-4186f232.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/srcnn/srcnn_x4k915_1x16_1000k_div2k_20200608_120159.log.json) | diff --git a/configs/restorers/srresnet_srgan/README.md b/configs/restorers/srresnet_srgan/README.md index 366e47b30e..5974543373 100644 --- a/configs/restorers/srresnet_srgan/README.md +++ b/configs/restorers/srresnet_srgan/README.md @@ -19,7 +19,7 @@ Evaluated on RGB channels, `scale` pixels in each border are cropped before eval The metrics are `PSNR / SSIM`. -| Method | Set5 | Set14 | DIV2K | Download | -| :--------------------------------: | :---------------: | :--------------: | :--------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | -| msrresnet_x4c64b16_1x16_300k_div2k | 30.2252 / 0.8491 | 26.7762 / 0.7369 | 28.9748 / 0.8178 | [model](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/msrresnet_x4c64b16_1x16_300k_div2k_20200521-61556be5.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/msrresnet_x4c64b16_1x16_300k_div2k_20200521_110246.log.json) | -| srgan_x4c64b16_1x16_1000k_div2k | 27.9499 / 0.7846 | 24.7383 / 0.6491 | 26.5697 / 0.7365 | [model](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/srgan_x4c64b16_1x16_1000k_div2k_20200606-a1f0810e.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/srgan_x4c64b16_1x16_1000k_div2k_20200506_191442.log.json) | +| Method | Set5 | Set14 | DIV2K | Download | +| :---------------------------------------------------------------------------------------------------------: | :---------------: | :--------------: | :--------------: | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------: | +| [msrresnet_x4c64b16_1x16_300k_div2k](/configs/restorers/srresnet_srgan/msrresnet_x4c64b16_g1_1000k_div2k.py) | 30.2252 / 0.8491 | 26.7762 / 0.7369 | 28.9748 / 0.8178 | [model](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/msrresnet_x4c64b16_1x16_300k_div2k_20200521-61556be5.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/msrresnet_x4c64b16_1x16_300k_div2k_20200521_110246.log.json) | +| [srgan_x4c64b16_1x16_1000k_div2k](/configs/restorers/srresnet_srgan/srgan_x4c64b16_g1_1000k_div2k.py) | 27.9499 / 0.7846 | 24.7383 / 0.6491 | 26.5697 / 0.7365 | [model](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/srgan_x4c64b16_1x16_1000k_div2k_20200606-a1f0810e.pth) \| [log](https://download.openmmlab.com/mmediting/restorers/srresnet_srgan/srgan_x4c64b16_1x16_1000k_div2k_20200506_191442.log.json) | diff --git a/configs/restorers/tof/README.md b/configs/restorers/tof/README.md index 35470d3993..95c5db2f48 100644 --- a/configs/restorers/tof/README.md +++ b/configs/restorers/tof/README.md @@ -23,6 +23,6 @@ Evaluated on RGB channels. The metrics are `PSNR / SSIM`. -| Method | Vid4 | Download | -| :----------------------: | :--------------: | :---------------------------------------------------------------------------------------------------: | -| tof_x4_vimeo90k_official | 24.4377 / 0.7433 | [model](https://download.openmmlab.com/mmediting/restorers/tof/tof_x4_vimeo90k_official-a569ff50.pth) | +| Method | Vid4 | Download | +| :---------------------------------------------------------------------------: | :--------------: | :---------------------------------------------------------------------------------------------------: | +| [tof_x4_vimeo90k_official](/configs/restorers/tof/tof_x4_vimeo90k_official.py) | 24.4377 / 0.7433 | [model](https://download.openmmlab.com/mmediting/restorers/tof/tof_x4_vimeo90k_official-a569ff50.pth) | diff --git a/configs/synthesizers/cyclegan/README.md b/configs/synthesizers/cyclegan/README.md index c8f617df56..df083bc048 100644 --- a/configs/synthesizers/cyclegan/README.md +++ b/configs/synthesizers/cyclegan/README.md @@ -20,10 +20,10 @@ We use `FID` and `IS` metrics to evaluate the generation performance of CycleGA `FID` evaluation: -| Dataset | facades | facades-id0 | summer2winter | summer2winter-id0 | winter2summer | winter2summer-id0 | horse2zebra | horse2zebra-id0 | zebra2horse | zebra2horse-id0 | average | -| :------: | :---------: | :---------: | :-----------: | :---------------: | :-----------: | :---------------: | :---------: | :-------------: | :---------: | :-------------: | :--------: | -| official | 123.626 | **119.726** | 77.342 | 76.773 | **72.631** | 74.239 | **62.111** | 77.202 | **138.646** | 137.050 | 95.935 | -| ours | **118.297** | 126.316 | **76.959** | **76.018** | 72.803 | **73.498** | 63.810 | **71.675** | 139.279 | **132.369** | **95.102** | +| Dataset | [facades](/configs/synthesizers/cyclegan/cyclegan_lsgan_resnet_in_1x1_80k_facades.py) | [facades-id0](/configs/synthesizers/cyclegan/cyclegan_lsgan_id0_resnet_in_1x1_80k_facades.py) | [summer2winter](/configs/synthesizers/cyclegan/cyclegan_lsgan_resnet_in_1x1_246200_summer2winter.py) | [summer2winter-id0](/configs/synthesizers/cyclegan/cyclegan_lsgan_id0_resnet_in_1x1_246200_summer2winter.py) | winter2summer | winter2summer-id0 | [horse2zebra](/configs/synthesizers/cyclegan/cyclegan_lsgan_resnet_in_1x1_266800_horse2zebra.py) | [horse2zebra-id0](/configs/synthesizers/cyclegan/cyclegan_lsgan_id0_resnet_in_1x1_266800_horse2zebra.py) | zebra2horse | zebra2horse-id0 | average | +| :------: | :----------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------------------: | :-----------: | :---------------: | :---------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------------------------------: | :---------: | :-------------: | :--------: | +| official | 123.626 | **119.726** | 77.342 | 76.773 | **72.631** | 74.239 | **62.111** | 77.202 | **138.646** | 137.050 | 95.935 | +| ours | **118.297** | 126.316 | **76.959** | **76.018** | 72.803 | **73.498** | 63.810 | **71.675** | 139.279 | **132.369** | **95.102** | `IS` evaluation: diff --git a/configs/synthesizers/pix2pix/README.md b/configs/synthesizers/pix2pix/README.md index 2f11e551e5..898a935bf1 100644 --- a/configs/synthesizers/pix2pix/README.md +++ b/configs/synthesizers/pix2pix/README.md @@ -20,10 +20,10 @@ We use `FID` and `IS` metrics to evaluate the generation performance of pix2pix `FID` evaluation: -| Dataset | facades | maps-a2b | maps-b2a | edges2shoes | average | -| :------: | :---------: | :---------: | :--------: | :---------: | :---------: | -| official | **119.135** | 149.731 | 102.072 | **75.774** | 111.678 | -| ours | 127.792 | **118.552** | **92.798** | 85.413 | **106.139** | +| Dataset | [facades](/configs/synthesizers/pix2pix/pix2pix_vanilla_unet_bn_1x1_80k_facades.py) | [maps-a2b](/configs/synthesizers/pix2pix/pix2pix_vanilla_unet_bn_a2b_1x1_219200_maps.py) | [maps-b2a](/configs/synthesizers/pix2pix/pix2pix_vanilla_unet_bn_b2a_1x1_219200_maps.py) | [edges2shoes](/configs/synthesizers/pix2pix/pix2pix_vanilla_unet_bn_wo_jitter_flip_1x4_186840_edges2shoes.py) | average | +| :------: | :--------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------: | :-------------------------------------------------------------------------------------: | :----------------------------------------------------------------------------------------------------------: | :---------: | +| official | **119.135** | 149.731 | 102.072 | **75.774** | 111.678 | +| ours | 127.792 | **118.552** | **92.798** | 85.413 | **106.139** | `IS` evaluation: