DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022

Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

[IJCAI 2023 ORAL] "Pyramid Diffusion Models For Low-light Image Enhancement" (Official Implementation)

Recurrent Video Restoration Transformer with Guided Deformable Attention (NeurlPS2022, official repository)

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

The state-of-the-art image restoration model without nonlinear activation functions.

Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023 Spotlight)

Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones (ECCV 2022)

PromptIR: Prompting for All-in-One Blind Image Restoration [NeurIPS 2023]

PyTorch implementation for All-In-One Image Restoration for Unknown Corruption (AirNet) (CVPR 2022)

[TPAMI 2022] Learning Enriched Features for Fast Image Restoration and Enhancement. Results on Defocus Deblurring, Denoising, Super-resolution, and image enhancement

[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR

[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

This is the official pytorch implementation of "FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency Information" (ACM MM 2023)