Vincent-Hoo / Knowledge-Distillation-for-Super-resolution
ICIP 2020, FAKD: Feature-Affinity Based Knowledge Distillation for Efficient Image Super-Resolution
☆143Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Knowledge-Distillation-for-Super-resolution
- Pytorch code for "EBSR: Feature Enhanced Burst Super-Resolution with Deformable Alignment", CVPRW 2021, 1st NTIRE (real data track).☆94Updated 2 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 3 years ago
- Unofficial PyTorch code for the paper - Unprocessing Images for Learned Raw Denoising, CVPR'19☆171Updated 3 years ago
- On Efficient Transformer-Based Image Pre-training for Low-Level Vision☆130Updated 2 years ago
- Solution of the NTIRE 2022 Challenge on Efficient Super-Resolution☆122Updated 2 years ago
- Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution☆70Updated 2 years ago
- Dataset and Code for ICCV 2021 paper "Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme"☆115Updated 2 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆169Updated 3 years ago
- ☆45Updated 3 years ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆91Updated 2 years ago
- Winner solution of mobile AI (CVPRW 2021).☆148Updated 2 years ago
- ☆190Updated 4 years ago
- Python toolbox for Bayer Raw image unification and augmentation☆94Updated 4 years ago
- ☆87Updated 11 months ago
- Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"☆74Updated 2 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆103Updated 4 years ago
- CVPR2021 Workshop - HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization.☆157Updated 2 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆237Updated 3 years ago
- Pytorch code for "Spatial-Adaptive Network for Single Image Denoising"☆127Updated 2 years ago
- Official code for ECCV2022 paper: Learning Series-Parallel Lookup Tables for Efficient Image Super-Resolution☆51Updated last year
- Code for DISCNet.☆99Updated 3 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆161Updated 2 years ago
- ☆50Updated 2 years ago
- [ICCVW 2019] PyTorch implementation of DSGAN and ESRGAN-FS from the paper "Frequency Separation for Real-World Super-Resolution". This co…☆163Updated 4 years ago
- [TPAMI 2023 / ACMMM 2022 Best Paper Runner-Up Award] Learnability Enhancement for Low-light Raw Denoising: Where Paired Real Data Meets N…☆134Updated 11 months ago
- This is an offical implementation of the CVPR2022's paper [Learning the Degradation Distribution for Blind Image Super-Resolution](https:…☆165Updated 2 years ago
- Exploiting raw images for real-scene super-resolution, TPAMI 2021☆53Updated 3 years ago
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆236Updated 3 years ago
- ☆81Updated 3 years ago
- ☆173Updated 5 months ago