chaofengc / FeMaSR
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
☆217Updated last year
Alternatives and similar repositories for FeMaSR:
Users that are interested in FeMaSR are comparing it to the libraries listed below
- Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.☆227Updated last year
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆166Updated 2 years ago
- Official implementation of the paper 'Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolutio…☆274Updated 2 years ago
- Official codes for DeSRA (ICML 2023)☆133Updated last year
- A Collection of Papers and Codes in ECCV2022 about low level vision☆167Updated last year
- PyTorch implementation of "Reference-based Image Super-Resolution with Deformable Attention Transformer (ECCV2022)"☆145Updated 11 months ago
- From Face to Natural Image: Learning Real Degradation for Blind Image Super-Resolution (ECCV 2022)☆121Updated 2 years ago
- Codes for "Metric Learning based Interactive Modulation for Real-World Super-Resolution"☆159Updated last year
- A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift☆134Updated last year
- [ECCV'22] FTVSR: Learning Spatiotemporal Frequency-Transformer for Compressed Video Super-Resolution☆163Updated 4 months ago
- Test-time Local Converter☆235Updated last year
- SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising☆124Updated last year
- Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"☆117Updated 3 years ago
- Local Texture Estimator for Implicit Representation Function, in CVPR 2022☆174Updated last year
- Official implementation of the paper 'Efficient and Degradation-Adaptive Network for Real-World Image Super-Resolution' in ECCV 2022☆142Updated 2 years ago
- A Collection of Papers and Codes in ICCV2023/2021 about low level vision☆197Updated last year
- PyTorch implementation of "CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution (CVPR202…☆121Updated 10 months ago
- Repository for Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms☆173Updated last year
- [CVPR'22 Oral] TTVSR: Learning Trajectory-Aware Transformer for Video Super-Resolution☆204Updated 2 years ago
- (NIPS 2022) Rethinking Alignment in Video Super-Resolution Transformers☆119Updated 2 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆93Updated 2 years ago
- [PRICAI 2023] A-ESRGAN aims to provide better super-resolution images by using multi-scale attention U-net discriminators.☆122Updated 3 years ago
- ☆69Updated 5 months ago
- [CVPR 2024] Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts☆72Updated 10 months ago
- Official implementation of ICCV2023 "Towards Real-World Burst Image Super-Resolution: Benchmark and Method"☆124Updated last year
- CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.☆162Updated 2 years ago
- On Efficient Transformer-Based Image Pre-training for Low-Level Vision☆131Updated 2 years ago
- [TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets N…☆143Updated last year
- [ACM MM 2022] Real-time Streaming Video Denoising with Bidirectional Buffers☆77Updated 9 months ago
- Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.☆206Updated last year