[ Last updated at 26/09/2024 ]
We aim to provide a list of all-in-one image/video processing techniques, including restoration, enhancement, coding and quality assessment.
🆕 Always updating...! We update the newest paper once a week and summarize them at the end of each month.
📌 About new papers. If you want to incorporate your studies (e.g., the link of paper or project) on all-in-one image restoration in this repository. Welcome to raise an issue or email us (jiaqima@whu.edu.cn or zhangx0802@whu.edu.cn). We will incorporate it into this repository and our survey report ASAP.
- 2024-xx-xx: A comprehensive survey is coming soon~
- 2024-09-31: Updated new papers before 31/09/2024.
- 2024-08-31: Updated new papers before 31/08/2024.
- 2024-08-28: Our paper Perceive-IR is on arXiv and under peer review, which reach SOTA on two all-in-one settings.
- 2024-07-31: Updated new papers before 31/07/2024.
- 2024-06-21: Updated new papers before 21/06/2024.
- 2024-06-17: This repo is lauched to better investigate existing all-in-one restoration methods!
- 2023-06-23: Our paper ProRes is on arXiv and under peer review, nearly the first to introduce visual prompt into all-in-one image restoration tasks.
- Benchmark datasets
- Common-used metrics
- Order rank for papers
- All-in-one image restoration
- Adverse weather removal
- All-in-one video restoration
- Other all-in-one related papers
Degradation type | Guassian nosie | Real Nosie | Haze/Fog | Rain | Raindrop | Compressed JPEG |
---|---|---|---|---|---|---|
Abbreviation | N | RN | H/F | R | RD | J |
Degradation type | Motion blur | Defocus blur | Low-light/Enhancement | Super-resolution | Snow |
---|---|---|---|---|---|
Abbreviation | B | DB | L/E | SR | S |
- All-in-one for Natural Image Restoration
- All-in-one for Adverse Weather Removal
- Application in Adverse Weather Conditions
- All-in-one for Medical Image Restoration
- All-in-one for Document Image Restorationn
- All-in-one for LLM-driven Image Restoration
- All-in-one for Question Answering
- All-in-one for Video Restoration
- Benchmark Datasets
- Common-used Metrics
Model | Title | First Author | Type | Venue | Project |
---|---|---|---|---|---|
AMIR | All-In-One Medical Image Restoration via Task-Adaptive Routing | Zhiwen Yang | Medical Image | MICCAI 2024 | |
ProCT | Universal Incomplete-View CT Reconstruction with Prompted Contextual Transformer | Chenglong Ma | Medical Image | arXiv 2023 |
Model | Title | First Author | Type | Venue | Project |
---|---|---|---|---|---|
DocRes | DocRes: A Generalist Model Toward Unifying Document Image Restoration Tasks | Jiaxin Zhang | Document Image | CVPR 2024 |
Model | Title | Type | Venue | Project | Method |
---|---|---|---|---|---|
AdaptIR | AdaptIR: Parameter Efficient Multi-task Adaptation for Pre-trained Image Restoration Models | Natrual Image | arXiv'23.12 | parameter efficient transfer learning |
Model | Title | First Author | Type | Venue | Project |
---|---|---|---|---|---|
InstructIR | InstructIR: High-Quality Image Restoration Following Human Instructions | Marcos V. Conde | Natrual Image | ECCV 2024 | |
LM4LV | LM4LV: A Frozen Large Language Model for Low-level Vision Tasks | Boyang Zheng | Natrual Image | arXiv 2024 | |
DACLIP-UIR | Controlling vision-language models for universal image restoration | Boyang Zheng | Natrual Image | arXiv 2024 |
Model | Title | First Author | Type | Venue | Project |
---|---|---|---|---|---|
PromptGIP | Unifying Image Processing as Visual Prompting Question Answering | Yihao Liu | Natrual Image | arXiv 2023 |
Model | Title | First Author | Type | Venue | Project |
---|---|---|---|---|---|
CDUN | Degradation Conditions Guided Cross-Consistent Deep Unfolding Network for All-In-One Video Restoration | Yuanshuo Cheng | AIO | arXiv 2023 | |
DiffTTA | Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal | Yijun Yang | Adverse weather | CVPR'24 | |
SD4VS | Leveraging Synthetic Data to Learn Video Stabilization Under Adverse Conditions | Abdulrahman Kerim | Video stabilization | WACV 2024 | |
ViWS-Net | Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation | Yijun Yang | Adverse weather | ICCV'23 |
Model | Title | First Author | Type | Venue | Project |
---|---|---|---|---|---|
OD | Accurate Forgetting for All-in-One Image Restoration Model | Xin Su | Degradation Forgetting | arXiv 2024 |
Dataset | Task | Usage | Link | Year |
---|---|---|---|---|
Raindrop | raindrop | Train: 861/Test: set-A (58), set-B (239) | download | CVPR 2018 |
Snow100K | snow | 100K synthetic images | download | IEEE TIP 2018 |
Outdoor-Rain | haze & rain | 9000 train/1500 val | download | CVPR 2019 |
ALL-Weather | haze & rain/snow/raindrop | Train (18069): Outdoor-Rain (8250), Snow100K (9001), and Raindrop (818)/Test: Snow100K-L (16801), RaindropA (58), Outdoor-Rain (750) | download | CVPR 2022 |
Flickr2K | Image Super-resolution | Training | 2017 | |
SeaIceWeather | Image De-weathering | Training,Testing | 2024 |
Dataset | Task | Usage | Year |
---|---|---|---|
DIV2K | Image Super-resolution | Training,Testing | 2017 |
Flickr2K | Image Super-resolution | Training | 2017 |
SeaIceWeather | Image De-weathering | Training,Testing | 2024 |
WIP!