Statistics for topic image-restoration
RepositoryStats tracks 584,796 Github repositories, of these 144 are tagged with the image-restoration topic. The most common primary language for repositories using this topic is Python (111). Other languages include: Jupyter Notebook (11)
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Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
SwinIR: Image Restoration Using Swin Transformer (official repository)
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Bringing Old Photo Back to Life (CVPR 2020 oral)
A Collection of Low Level Vision Research Groups
A Collection of Papers and Codes in AAAI2022 related to Low-Level Vision
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Bringing Old Photo Back to Life (CVPR 2020 oral)
SwinIR: Image Restoration Using Swin Transformer (official repository)
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
an inference lib for image/video restoration with VapourSynth support
Deep learning training framework for image super resolution and restoration.
[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
A simple Pytorch implementation of plug and play ADMM with examples
A Collection of Low Level Vision Research Groups
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Bringing Old Photo Back to Life (CVPR 2020 oral)
SwinIR: Image Restoration Using Swin Transformer (official repository)
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Deep learning training framework for image super resolution and restoration.
The official PyTorch implementation for CascadedGaze: Efficiency in Global Context Extraction for Image Restoration, TMLR'24.
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
This is a summary of research on All-In-One Image/Video Restoration. There may be omissions. If anything is missing please get in touch with us. Our emails: liboyun.gm@gmail.com; gouyuanbiao@gmail.com...
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Bringing Old Photo Back to Life (CVPR 2020 oral)
SwinIR: Image Restoration Using Swin Transformer (official repository)
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
neosr is an open-source framework for training super-resolution models.