Trending repositories for topic image-restoration
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Bringing Old Photo Back to Life (CVPR 2020 oral)
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The state-of-the-art image restoration model without nonlinear activation functions.
SwinIR: Image Restoration Using Swin Transformer (official repository)
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
A Collection of Low Level Vision Research Groups
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
A Collection of Papers and Codes in AAAI2022 related to Low-Level Vision
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
neosr is an open-source framework for training super-resolution models.
🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-pro...
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
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
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
neosr is an open-source framework for training super-resolution models.
The state-of-the-art image restoration model without nonlinear activation functions.
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
🌕 [BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction. SOTA for low light enhancement, 0.004 seconds try this for pre-pro...
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
SwinIR: Image Restoration Using Swin Transformer (official repository)
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Bringing Old Photo Back to Life (CVPR 2020 oral)
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
The state-of-the-art image restoration model without nonlinear activation functions.
SwinIR: Image Restoration Using Swin Transformer (official repository)
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
A Collection of Low Level Vision Research Groups
an inference lib for image/video restoration with VapourSynth support
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
Deep learning training framework for image super resolution and restoration.
[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
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
Official implementation of the paper "DeblurDiNAT: A Generalizable Transformer for Perceptual Image Deblurring".
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
A Collection of Papers and Codes in AAAI2022 related to Low-Level Vision
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
neosr is an open-source framework for training super-resolution models.
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
This is the official testing code of the baseline method presented at the CVPR 2023 NTIRE Real-Time 4K Super-Resolution Challenge. We provide model and pre-trained checkpoints.
[CVPR 2022--Oral, Best paper Finalist] Burst Image Restoration and Enhancement. SOTA for Burst Super-resolution, Low-light Burst Image Enhancement, Burst Image De-noising
[CVPR 2022] Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model
Local Texture Estimator for Implicit Representation Function, in CVPR 2022
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)
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
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
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
an inference lib for image/video restoration with VapourSynth support
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
A Collection of Papers and Codes for ECCV2024/ECCV2020 Low Level Vision
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
[ 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
Blur Conversion for Unsupervised Image Deblurring (CVPR'24)
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.
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...
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement
A simple Pytorch implementation of plug and play ADMM with examples
Official implementation of the paper "DeblurDiNAT: A Generalizable Transformer for Perceptual Image Deblurring".
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
neosr is an open-source framework for training super-resolution models.
A Collection of Low Level Vision Research Groups
[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation
[ECCV 2024] Histoformer: Restoring Images in Adverse Weather Conditions via Histogram Transformer
[CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution
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...
[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!
The official PyTorch implementation for CascadedGaze: Efficiency in Global Context Extraction for Image Restoration, TMLR'24.
Official implementation of the paper "DeblurDiNAT: A Generalizable Transformer for Perceptual Image Deblurring".
[MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
This is the official PyTorch implementation of DehazeDCT. Our method achieves the second best performance in NTIRE 2024 Dense and NonHomogeneous Dehazing Challenge (CVPR workshop))
Deep learning training framework for image super resolution and restoration.
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)
The state-of-the-art image restoration model without nonlinear activation functions.
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
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Image Restoration with Mean-Reverting Stochastic Differential Equations, ICML 2023. Winning solution of the NTIRE 2023 Image Shadow Removal Challenge.
A toolbox for spectral compressive imaging reconstruction including MST (CVPR 2022), CST (ECCV 2022), DAUHST (NeurIPS 2022), BiSCI (NeurIPS 2023), HDNet (CVPR 2022), MST++ (CVPRW 2022), etc.
[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.
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.
[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
(IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]
A Collection of Low Level Vision Research Groups
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
[AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
This is the official testing code of the baseline method presented at the CVPR 2023 NTIRE Real-Time 4K Super-Resolution Challenge. We provide model and pre-trained checkpoints.
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge