rhgao / on-demand-learning
On-Demand Learning for Deep Image Restoration (ICCV 2017)
☆81Updated 7 years ago
Alternatives and similar repositories for on-demand-learning:
Users that are interested in on-demand-learning are comparing it to the libraries listed below
- Semantic Image Inpainting with Progressive Generative Networks☆64Updated 6 years ago
- Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)☆101Updated 5 years ago
- Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)☆168Updated 6 years ago
- Reproduction of Nvidia image inpainting paper "Image Inpainting for Irregular Holes Using Partial Convolutions"☆114Updated 4 years ago
- PyTorch implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"☆77Updated 6 years ago
- A survey of recent application of deep learning on super-resolution tasks☆32Updated 6 years ago
- Gated Fusion Network for Joint Image Deblurring and Super-Resolution(BMVC 2018 Oral)☆142Updated 4 years ago
- TensorFlow implementation of "Weakly Supervised Photo Enhancer for Digital Cameras"☆54Updated 6 years ago
- This is a pytorch version of the Generative Image Inpainting with Contextual Attention☆72Updated 5 years ago
- Tensorflow implementation of Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones (ECCV 2018 Workshop PIRM)☆57Updated 6 years ago
- Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions (CVPR 2019)☆94Updated 5 years ago
- PyTorch code for our paper "Lightweight Image Super-Resolution with Adaptive Weighted Learning Network"☆159Updated 5 years ago
- Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)☆119Updated 5 years ago
- Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)☆80Updated 4 years ago
- Learning a Spatial Activation Function for Efficient Image Restoration☆88Updated 4 years ago
- Implementation of ICCV 2017 paper "A Generic Deep Architecture for Single Image Reflection Removal and Image Smoothing"☆110Updated 6 years ago
- Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)☆116Updated 4 years ago
- Pytorch implementation for SRDenseNet (ICCV2017)☆68Updated 7 years ago
- CVPR2019 (oral) Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers (AdaFM). PyTorch implementati…☆184Updated 5 years ago
- Deep Back-Projection Networks for Super-Resolution☆39Updated 6 years ago
- Tensorflow implementation of VESPCN☆42Updated 6 years ago
- S. Su, M. Delbracio, J. Wang, G. Sapiro, W. Heidrich, O. Wang. Deep Video Deblurring. CVPR 2017, Spotlight☆194Updated 6 years ago
- Tensorflow implementation of the paper "Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution"☆104Updated 6 years ago
- PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning☆201Updated 7 years ago
- Code for our ICCV'17 paper "MemNet: A Persistent Memory Network for Image Restoration" (SPOTLIGHT Presentation)☆182Updated 6 years ago
- Replicate study for 'Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network' with te…☆23Updated 8 years ago
- Tensorflow with Image Super-Resolution Using Dense Skip Connections , color☆37Updated 7 years ago
- Class Final Project for MIT 6.819 Advances in Computer Vision☆51Updated 6 years ago
- Pytorch implementation of Perceptual Losses for Real-Time Style Transfer and Super-Resolution☆30Updated 7 years ago
- An Unofficial PyTorch Implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network☆58Updated 4 years ago