IceClear / MW-GAN
Official PyTorch implements for Multi-level Wavelet-Based Generative Adversarial Network for Perceptual Quality Enhancement of Compressed Video (ECCV, 2020) and MW-GAN+ for Perceptual Quality Enhancement on Compressed Video (IEEE TCSVT).
☆51Updated 3 years ago
Alternatives and similar repositories for MW-GAN:
Users that are interested in MW-GAN are comparing it to the libraries listed below
- Implementation of ESRGAN (ECCVW'18) for the subjective quality enhancement of compressed images.☆12Updated 3 years ago
- Multi-Memory Convolutional Neural Network for Video Super-Resolution☆37Updated 3 years ago
- Official PyTorch implementation of WSR (Towards Lighter and Faster: Learning Wavelets Progressively for Image Super-Resolution) accepted …☆30Updated 4 years ago
- PyTorch implementation of "MGANet & DCC2020 paper"☆39Updated 4 years ago
- PyTorch implementation of "Guided Attention Generative Network for Quality Enhancement of Compressed Video"☆30Updated 5 years ago
- ☆16Updated 2 years ago
- Empower the quality enhancement approaches for compressed images/videos.☆52Updated 3 months ago
- Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"☆66Updated 2 years ago
- cindydeng1991 / Wavelet-Domain-Style-Transfer-for-an-Effective-Perception-distortion-Tradeoff-in-Single-Image-Super-ICCV 2019 oral presentation☆43Updated 5 years ago
- Non-Local ConvLSTM for Video Compression Artifact Reduction(ICCV2019)☆24Updated 3 years ago
- Path-Restore: Learning Network Path Selection for Image Restoration (IEEE TPAMI, 2021)☆42Updated 3 years ago
- Transformer for low-level vision applications, such as image restoration (denosing, super resolution, deblur)☆53Updated 2 years ago
- Official implementation of "DualSR: Zero-Shot Dual Learning for Real-World Super-Resolution"☆26Updated 3 years ago
- Implicit Dual-domain Convolutional Network for Robust Color Image Compression Artifact Reduction (IEEE TCSVT 2019)☆29Updated 3 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆95Updated 4 years ago
- Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows☆94Updated 2 years ago
- Downscale a set of images by randomly created kernels and save them☆76Updated 3 years ago
- Reference based Image Super-Resolution via Variational AutoEncoder☆28Updated 3 years ago
- Official repository of KOALAnet (CVPR, 2021)☆38Updated 2 years ago
- Transfer Learning from Synthetic to Real-Noise Denoising with Adaptive Instance Normalization (CVPR 2020)☆80Updated 5 years ago
- ☆62Updated 2 years ago
- Training Code for MWCNN in PyTorch environment☆64Updated 6 years ago
- This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"☆100Updated 4 years ago
- Official repository containing code and other material from the paper "Efficient Video Super-Resolution through Recurrent Latent Space Pr…☆86Updated 3 years ago
- Independent implementation of the algorithm from the paper "Blind Image Super-Resolution with Spatially Variant Degradations"☆59Updated 5 years ago
- Neural Sparse Representation for Image Restoration☆31Updated 4 years ago
- Code for Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolution☆74Updated 3 years ago
- Different SSIM metrics in CNN-based super resolution algorithms (e.g., EDSR CVPRW2017, RDN CVPR2018, MSRN ECCV2018).☆39Updated 2 years ago
- EFENet: Reference-based Video Super-Resolution with Enhanced Flow Estimation☆25Updated last year
- ☆76Updated 3 years ago