zhaohengyuan1 / PAN
(ECCV2020 Workshops) Efficient Image Super-Resolution Using Pixel Attention.
☆320Updated this week
Alternatives and similar repositories for PAN:
Users that are interested in PAN are comparing it to the libraries listed below
- Training and Testing codes for our paper "Real-world Image Super-resolution via Domain-distance Aware Training"☆237Updated 3 years ago
- Residual Feature Distillation Network for Lightweight Image Super-Resolution☆368Updated last year
- Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained S…☆433Updated last year
- PyTorch code for our paper "Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining" (CVPR2020)…☆403Updated 4 years ago
- ☆347Updated 3 years ago
- This is an official implementation of Unfolding the Alternating Optimization for Blind Super Resolution☆234Updated last year
- Implementation of 'Blind Super-Resolution With Iterative Kernel Correction' (CVPR2019)☆219Updated 5 years ago
- [IJCV] Pyramid Attention Networks for Image Restoration: new SOTA results on multiple image restoration tasks: denoising, demosaicing, co…☆399Updated 4 years ago
- Include MuCAN, LAPAR, etc.☆228Updated 2 years ago
- PyTorch code for our ECCV 2020 paper "Single Image Super-Resolution via a Holistic Attention Network"☆177Updated 3 years ago
- ☆193Updated 4 years ago
- [CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference☆239Updated 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 4 years ago
- (CVPR2021) ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic☆367Updated last year
- Pytorch implementation of Structure-Preserving Super Resolution with Gradient Guidance (CVPR 2020 & TPAMI 2021)☆447Updated 3 years ago
- Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020☆184Updated 4 years ago
- [CVPR 2021] Unsupervised Degradation Representation Learning for Blind Super-Resolution☆405Updated 2 years ago
- [ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution☆308Updated 2 years ago
- Official PyTorch code for Flow-based Kernel Prior with Application to Blind Super-Resolution (FKP, CVPR2021)☆148Updated 3 years ago
- TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution, CVPR 2020☆401Updated 3 years ago
- Official PyTorch code for Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution (MANet, ICCV2021)☆172Updated 3 years ago
- Residual Feature Aggregation Network for Image Super-Resolution☆103Updated 4 years ago
- MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution (CVPR2021)☆165Updated 3 years ago
- A PyTorch implementation of widely-used bicubic interpolation, which is fully compatible with MATLAB.☆138Updated 4 years ago
- [NeurIPS 2020] Cross-Scale Internal Graph Neural Network for Image Super-Resolution☆313Updated 4 years ago
- Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)☆385Updated 8 months ago
- Revisiting RCAN: Improved Training for Image Super-Resolution☆93Updated 2 years ago
- code for paper "Video Super-resolution with Temporal Group Attention"☆126Updated 4 years ago
- PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"☆343Updated 5 years ago
- Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch☆184Updated 4 years ago