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Modify Chinese documentation #421

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Modify Chinese documentation #421

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14 changes: 14 additions & 0 deletions configs/inpainting/deepfillv1/README_zh-CN.md
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```

</details>

<br/>

**Places365-Challenge**

| 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](/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) |
14 changes: 14 additions & 0 deletions configs/inpainting/deepfillv2/README_zh-CN.md
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```

</details>

<br/>

**Places365-Challenge**

| 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](/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) |
16 changes: 16 additions & 0 deletions configs/inpainting/global_local/README_zh-CN.md
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```

</details>

<br/>

*Note that we do not apply the post-processing module in Global&Local for a fair comparison with current deep inpainting methods.*

**Places365-Challenge**

| 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](/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) |
14 changes: 14 additions & 0 deletions configs/inpainting/partial_conv/README_zh-CN.md
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```

</details>

<br/>

**Places365-Challenge**

| 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](/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) |
20 changes: 20 additions & 0 deletions configs/mattors/dim/README_zh-CN.md
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```

</details>

<br/>

| 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**

* stage1: train the encoder-decoder part without the refinement part. \
* stage2: fix the encoder-decoder part and train the refinement part. \
* stage3: fine-tune the whole network.

> The performance of the model is not stable during the training. Thus, the reported performance is not from the last checkpoint. Instead, it is the best performance of all validations during training.

> 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.
16 changes: 16 additions & 0 deletions configs/mattors/gca/README_zh-CN.md
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```

</details>

<br/>

| 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)](/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) |
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