JingyunLiang / HCFlowLinks
Official PyTorch code for Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling (HCFlow, ICCV2021)
☆192Updated 3 years ago
Alternatives and similar repositories for HCFlow
Users that are interested in HCFlow are comparing it to the libraries listed below
Sorting:
- Official implementation of the paper DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows☆93Updated 2 years ago
- CVPR 2021 Challenge on Super-Resolution Space☆105Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆239Updated 3 years ago
- ☆59Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆93Updated 3 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆165Updated 5 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆147Updated 3 years ago
- ☆107Updated 4 years ago
- ☆63Updated 3 years ago
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆230Updated 2 years ago
- Contextual Loss (CX) and Contextual Bilateral Loss (CoBi).☆172Updated last year
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆167Updated 3 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆233Updated last year
- ☆76Updated 4 years ago
- Multi-scale discriminator feature-wise loss function☆106Updated 2 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆323Updated 3 months ago
- Include MuCAN, LAPAR, etc.☆230Updated 3 years ago
- PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)☆226Updated last year
- ☆50Updated 3 years ago
- Unpaired Learning of Deep Image Denoising☆139Updated 4 years ago
- A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.☆140Updated 4 years ago
- NeurIPS 2021, Spotlight, Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution☆120Updated 2 years ago
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆128Updated 3 years ago
- ☆65Updated 4 years ago
- (ECCV 2020) Interactive Multi-Dimension Modulation with Dynamic Controllable Residual Learning for Image Restoration☆96Updated 4 years ago
- Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.☆212Updated last year
- Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"☆120Updated 3 years ago
- Official pytorch implementation of paper "RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution"☆136Updated last year
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆167Updated 3 years ago
- Unsupervised Real Image Super-Resolution via Variational AutoEncoder in CVPR2020☆117Updated 2 years ago