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CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration
[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.
The state-of-the-art image restoration model without nonlinear activation functions.
PyTorch code for our paper "Image Super-Resolution with Non-Local Sparse Attention" (CVPR2021).
This project is official implementation of 'Efficient Non-Local Contrastive Attention for Image Super-Resolution', AAAI2022
This repository contains the implementation associated with the paper "Learning to improve image compression without changing the standard decoder".
Implementation of Depthwise Separable Convolution (pytorch)
ECCV 2022, Oral, VQFR: Blind Face Restoration with Vector-Quantized Dictionary and Parallel Decoder
[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement
[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.
Codes for "RepSR: Training Efficient VGG-style Super-Resolution Networks with Structural Re-Parameterization and Batch Normalization"
Paper accepted by CVPR Workshop, NTIRE 2022
PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)
Official MegEngine implementation of RepLKNet
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions (SIGGRAPH 2022 - Journal Track)
HandyFigure provides the sources file (ususally PPT files) for paper figures
This is an official pytorch implementation of Fast Fourier Convolution.
PITI: Pretraining is All You Need for Image-to-Image Translation
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.
Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)
[CVPR 2022] VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
The official implementation of "Bayesian Image Super-Resolution with Deep Modeling of Image Statistics" via TensorFlow
Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel (CVPR, 2022) (Pytorch)
[CVPR 2022] Official PyTorch Implementation of "AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement" (https://arxiv.org/abs/2204.13983)