Trending repositories for topic image-restoration
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
The state-of-the-art image restoration model without nonlinear activation functions.
Bringing Old Photo Back to Life (CVPR 2020 oral)
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...
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
SwinIR: Image Restoration Using Swin Transformer (official repository)
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Deep learning training framework for image super resolution and restoration.
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
Half Wavelet Attention on M-Net+ for Low-light Image Enhancement
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
Deep learning training framework for image super resolution and restoration.
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...
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
Half Wavelet Attention on M-Net+ for Low-light Image Enhancement
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Code for "Restoring Vision in Adverse Weather Conditions with Patch-Based Denoising Diffusion Models" [TPAMI 2023]
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.
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
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Official Code for ICCV 2021 paper "Towards Flexible Blind JPEG Artifacts Removal (FBCNN)"
The state-of-the-art image restoration model without nonlinear activation functions.
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
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)
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...
Bringing Old Photo Back to Life (CVPR 2020 oral)
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
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.
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
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
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...
[ICPR Best Paper]:"AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions"
Deep learning training framework for image super resolution and restoration.
[MICCAI 2024] All-In-One Medical Image Restoration via Task-Adaptive Routing (AMIR).
Half Wavelet Attention on M-Net+ for Low-light Image Enhancement
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[CVPR'23] Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
CVPR NTIRE 2023 Challenge on Real-Time Super-Resolution
[ICCV 2023] Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution; runner-up method for the model complexity track in NTIRE2023 Efficient SR challenge
[CVPR 2024] CFAT: Unleashing Triangular Windows for Image Super-resolution
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[ICLR 2024] Controlling Vision-Language Models for Universal Image Restoration. 5th place in the NTIRE 2024 Restore Any Image Model in the Wild Challenge.
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)
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
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.
The state-of-the-art image restoration model without nonlinear activation functions.
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Image Restoration Toolbox (PyTorch). Training and testing codes for DPIR, USRNet, DnCNN, FFDNet, SRMD, DPSR, BSRGAN, SwinIR
Unofficial implementation of Palette: Image-to-Image Diffusion Models by Pytorch
Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
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...
NCNN implementation of Real-ESRGAN. Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
A Collection of Papers and Codes for CVPR2024/CVPR2021/CVPR2020 Low Level Vision
[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
[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.
[IEEE TIP 2024] DEA-Net: Single image dehazing based on detail-enhanced convolution and content-guided attention
[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
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...
Deep learning training framework for image super resolution and restoration.
[ICPR Best Paper]:"AllWeatherNet:Unified Image enhancement for autonomous driving under adverse weather and lowlight-conditions"
GitHub repository for our project "Efficient Degradation-aware Any Image Restoration"
LYT-Net: Lightweight YUV Transformer-based Network for Low-Light Image Enhancement
[ECCV2024] DualDn: Dual-domain Denoising via Differentiable ISP. :star::triumph::star::skull: SOTA model for real-image denoising. :skull: Both in terms of denoising performance and generalization a...
Blur Conversion for Unsupervised Image Deblurring (CVPR'24)
The official PyTorch implementation for CascadedGaze: Efficiency in Global Context Extraction for Image Restoration, TMLR'24.
[ECCV 2024] OneRestore: A Universal Restoration Framework for Composite Degradation
[ECCV 2024] Prompt-based test-time real image dehazing: a novel pipeline
an inference lib for image/video restoration with VapourSynth support
[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
[ACM MM'24 Oral] RainMamba: Enhanced Locality Learning with State Space Models for Video Deraining
[CVPR'23] Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
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
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
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!
[ NeurIPS 2024 ] The official PyTorch implementation for Learning Truncated Causal History Model for Video Restoration.
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).
Deep learning training framework for image super resolution and 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))
[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
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)
[ECCV 2024] codes of DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior
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
The state-of-the-art image restoration model without nonlinear activation functions.
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.
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.
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
The Official Implementation for "HAIR: Hypernetworks-based All-in-One Image Restoration".
Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!
[TIP2024] MWFormer: Multi-Weather Image Restoration Using Degradation-Aware Transformers
neosr is an open-source framework for training super-resolution models.
[ICML2023] IRNeXt: Rethinking Convolutional Network Design for Image Restoration
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
[Knowledge-Based Systems] Exploring the Potential of Channel Interactions for Image Restoration
"Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement" (ICCV 2023) & (NTIRE 2024 Challenge)
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
[AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
[ECCV 2024] Prompt-based test-time real image dehazing: a novel pipeline
Revisiting Image Deblurring with an Efficient ConvNet - An efficient CNN performs better than Transformer
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.
Collection of recent shadow removal works, including papers, codes, datasets, and metrics.
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)