XLearning-SCU / 2024-ICML-TAOLinks
PyTorch implementation for Test-Time Degradation Adaptation for Open-Set Image Restoration (ICML 2024, Spotlight)
☆16Updated last year
Alternatives and similar repositories for 2024-ICML-TAO
Users that are interested in 2024-ICML-TAO are comparing it to the libraries listed below
Sorting:
- ☆13Updated last year
- [TIP 2024] Official Implementation of "Neural Degradation Representation Learning for All-In-One Image Restoration"☆33Updated 10 months ago
- [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration☆84Updated 6 months ago
- ☆97Updated 7 months ago
- [CVPR 2025] Learning Hazing to Dehazing: Towards Realistic Haze Generation for Real-World Image Dehazing☆48Updated 3 months ago
- Offical implementation of Universal Image Restoration Pre-training via Degradation Classification (ICLR2025).☆60Updated 2 weeks ago
- Official PyTorch implementation of "Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers" in ECCV 2024.☆34Updated 11 months ago
- [CVPR 2024] Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring☆35Updated last year
- [ECCV 2024] Prompt-based test-time real image dehazing: a novel pipeline☆43Updated 10 months ago
- [arXiv 2024] LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration☆72Updated 3 months ago
- [NeurIPS2024 Spotlight] Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network☆63Updated 4 months ago
- ☆52Updated last year
- [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration☆35Updated last year
- ☆24Updated 7 months ago
- Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration☆45Updated 2 months ago
- ☆46Updated 2 years ago
- Codes of Interpreting Low-level Vision Models with Causal Effect Maps☆28Updated last week
- [AAAI24] SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency☆19Updated last year
- Maximize Efficiency, Elevate Accuracy: Slash GPU Hours by Half with Efficient Pre-training!☆60Updated last year
- [CVIU 2024] Coarse-to-Fine Mechanisms Mitigate Diffusion Limitations on Image Restoration☆41Updated last year
- Official code for GenDeg: Diffusion-Based Degradation Synthesis for Generalizable All-in-One Image Restoration☆44Updated 3 months ago
- [AAAI 25] Debiased All-in-one Image Restoration with Task Uncertainty Regularization☆19Updated 8 months ago
- Official code for Zero-Reference Low-Light Enhancement via Physical Quadruple Priors (CVPR-24)☆98Updated last year
- GitHub repository for our project "Efficient Degradation-aware Any Image Restoration"☆30Updated 6 months ago
- PyTorch code for AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning☆14Updated 5 months ago
- ☆51Updated last year
- Codes for CVPR2023 paper "DegAE: A New Pretraining Paradigm for Low-level Vision"☆77Updated last year
- ☆37Updated last year
- [NeurIPS23] PromptRestorer: A Prompting Image Restoration Method with Degradation Perception☆14Updated last year
- Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models (ECCV 2024)☆15Updated last week