Vincent-Hoo / Knowledge-Distillation-for-Super-resolution
ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
☆147Updated 2 years ago
Alternatives and similar repositories for Knowledge-Distillation-for-Super-resolution:
Users that are interested in Knowledge-Distillation-for-Super-resolution are comparing it to the libraries listed below
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 3 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆122Updated 2 years ago
- 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
- Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19☆174Updated 4 years ago
- Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).☆95Updated 2 years ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆76Updated 2 years ago
- Towards Compact Single Image Super-Resolution via Contrastive Self-distillation, IJCAI21☆75Updated 3 years ago
- A generic framework which implements some famouts super-resolution models☆66Updated 3 years ago
- [Unofficial implementation] Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model (ICCV 2019)☆82Updated 3 years ago
- ☆46Updated 3 years ago
- On Efficient Transformer-Based Image Pre-training for Low-Level Vision☆131Updated 2 years ago
- ☆193Updated 4 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆92Updated 2 years ago
- Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution☆72Updated 2 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Updated 3 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆103Updated 4 years ago
- ☆76Updated 3 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆171Updated 3 years ago
- ☆87Updated last year
- ☆82Updated 3 years ago
- ☆50Updated 2 years ago
- Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"☆130Updated 2 years ago
- ☆53Updated 4 years ago
- Winner solution of mobile AI (CVPRW 2021).☆150Updated 2 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆51Updated 2 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆237Updated 3 years ago
- Exploiting raw images for real-scene super-resolution, TPAMI 2021☆55Updated 3 years ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆166Updated 2 years ago
- Python toolbox for Bayer Raw image unification and augmentation☆95Updated 5 years ago
- A Simple framework for image restoration, it includes ECBSR, ELAN and other SOTAs.☆48Updated 2 years ago