dvlab-research / Simple-SRLinks
Include MuCAN, LAPAR, etc.
☆230Updated 3 years ago
Alternatives and similar repositories for Simple-SR
Users that are interested in Simple-SR are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of VSR-Transformer☆262Updated 4 years ago
- ☆169Updated 4 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆232Updated last year
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆170Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆240Updated 4 years ago
- code for paper "Video Super-resolution with Temporal Group Attention"☆127Updated 4 years ago
- ☆201Updated 5 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Updated 4 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆149Updated 4 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
- Unofficial PyTorch code for BasicVSR☆67Updated 4 years ago
- Code for C2-Matching (CVPR2021). Paper: Robust Reference-based Super-Resolution via C2-Matching.☆221Updated last year
- The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".☆112Updated 3 years ago
- Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch☆185Updated 5 years ago
- Code for paper "Video Super-Resolution with Recurrent Structure-Detail Network" . The code is under preparation and is coming soon.☆91Updated 4 years ago
- (ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.☆323Updated 7 months ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆373Updated 7 months ago
- On Efficient Transformer-Based Image Pre-training for Low-Level Vision☆136Updated 3 years ago
- ☆76Updated 4 years ago
- Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).☆96Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆169Updated 3 years ago
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆317Updated 3 years ago
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆223Updated 5 years ago
- ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution☆154Updated 3 years ago
- ☆71Updated 2 years ago
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆406Updated 4 years ago
- ☆352Updated 3 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆105Updated 5 years ago
- Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"☆122Updated 3 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆171Updated 4 years ago