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Low-Level Vision

Super-Resolution

  • Iterative Image Reconstruction
    • Sven Behnke: Learning Iterative Image Reconstruction. IJCAI, 2001. [Paper]
    • Sven Behnke: Learning Iterative Image Reconstruction in the Neural Abstraction Pyramid. International Journal of Computational Intelligence and Applications, vol. 1, no. 4, pp. 427-438, 2001. [Paper]
  • Super-Resolution (SRCNN) [Web] [Paper-ECCV14] [Paper-arXiv15]
    • Learning a Deep Convolutional Network for Image Super-Resolution, ECCV, 2014.
    • Image Super-Resolution Using Deep Convolutional Networks, arXiv:1501.00092.
  • Very Deep Super-Resolution
    • Accurate Image Super-Resolution Using Very Deep Convolutional Networks, arXiv:1511.04587, 2015. [Paper]
  • Deeply-Recursive Convolutional Network
    • Deeply-Recursive Convolutional Network for Image Super-Resolution, arXiv:1511.04491, 2015. [Paper]
  • Casade-Sparse-Coding-Network
    • Deep Networks for Image Super-Resolution with Sparse Prior. ICCV, 2015. [Paper] [Code]
  • Perceptual Losses for Super-Resolution
    • Perceptual Losses for Real-Time Style Transfer and Super-Resolution, arXiv:1603.08155, 2016. [Paper] [Supplementary]
  • SRGAN
    • Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, arXiv:1609.04802v3, 2016. [Paper]
  • Others
    • Image Super-Resolution with Fast Approximate Convolutional Sparse Coding, ICONIP, 2014. [Paper ICONIP-2014]

Other Applications

  • Optical Flow (FlowNet) [Paper]
    • FlowNet: Learning Optical Flow with Convolutional Networks, arXiv:1504.06852.
  • Compression Artifacts Reduction [Paper-arXiv15]
    • Compression Artifacts Reduction by a Deep Convolutional Network, arXiv:1504.06993.
  • Blur Removal
    • Learning to Deblur, arXiv:1406.7444 [Paper]
    • Learning a Convolutional Neural Network for Non-uniform Motion Blur Removal, CVPR, 2015 [Paper]
  • Image Deconvolution [Web] [Paper]
    • Deep Convolutional Neural Network for Image Deconvolution, NIPS, 2014.
  • Deep Edge-Aware Filter [Paper]
  • Computing the Stereo Matching Cost with a Convolutional Neural Network [Paper]
    • Computing the Stereo Matching Cost with a Convolutional Neural Network, CVPR, 2015.
  • Colorful Image Colorization Richard Zhang, Phillip Isola, Alexei A. Efros, ECCV, 2016 [Paper], [Code]
  • [Blog]
  • Feature Learning by Inpainting[Paper][Code]
    • Context Encoders: Feature Learning by Inpainting, CVPR, 2016