xianggkl / VLU-Net
Official repository of the CVPR 2025 paper: Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks.
☆12Updated last month
Alternatives and similar repositories for VLU-Net:
Users that are interested in VLU-Net are comparing it to the libraries listed below
- [TIP 2024] Official Implementation of "Neural Degradation Representation Learning for All-In-One Image Restoration"☆32Updated 5 months ago
- Memory-Augmented Deep Unfolding Network for Compressive Sensing(ACMMM 2021)☆25Updated last year
- Offical implementation of Universal Image Restoration Pre-training via Degradation Classification (ICLR2025).☆41Updated 3 months ago
- [NeurIPS23] PromptRestorer: A Prompting Image Restoration Method with Degradation Perception☆15Updated 9 months ago
- PyTorch implementation for Test-Time Degradation Adaptation for Open-Set Image Restoration (ICML 2024, Spotlight)☆15Updated 9 months ago
- This repo contains a curated list of 3D Gaussian Splatting papers related to the Low-level Vision domain, , specifically focusing on 3D G…☆20Updated 5 months ago
- [CVPR 2025] Official Implementation of "PolarFree: Polarization-based Reflection-Free Imaging"☆11Updated 2 weeks ago
- ☆30Updated 7 months ago
- [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration☆58Updated last month
- The Local Attribution Map (LAM) is an interpretability tool for super-resolution reconstruction tasks. 局部归因图（Local Attribution Map，LAM）是一…☆12Updated 5 months ago
- ☆35Updated 5 months ago
- [AAAI2025] This repo holds the code for work "GaussianSR: High Fidelity 2D Gaussian Splatting for Arbitrary-Scale Image Super-Resolution"☆61Updated 4 months ago
- 局部归因图(Local Attribution Map， LAM)是一个超分辨率重建任务的可解释性工具，旨在找到低分辨率输入图像中对网络超分结果贡献最强烈的像素。LAM 将跟踪模型使用的信息，并在指定超分结果局部区域的前提下，高亮对超分结果贡献最大的像素。☆17Updated last year
- Official PyTorch implementation of "Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers" in ECCV 2024.☆29Updated 7 months ago
- [CVPR 2025] Official implementation for "Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution".☆45Updated last month
- Seeing the Unseen: A Frequency Prompt Guided Transformer for Image Restoration☆41Updated 9 months ago
- [ECCV'24 - Best Paper Award Candidate & Oral] Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging.☆31Updated last month
- [CVIU 2024] Coarse-to-Fine Mechanisms Mitigate Diffusion Limitations on Image Restoration☆42Updated 8 months ago
- [arXiv 2024] LoRA-IR: Taming Low-Rank Experts for Efficient All-in-One Image Restoration☆66Updated 6 months ago
- GitHub repository for our project "Efficient Degradation-aware Any Image Restoration"☆31Updated 2 months ago
- ☆21Updated 9 months ago
- (IJCV 2023) Deep Physics-Guided Unrolling Generalization for Compressed Sensing [PyTorch]☆37Updated last month
- Official code for "Activating Wider Areas in Image Super-Resolution"☆13Updated 8 months ago
- The official Pytorch Implementation of AnyIR for All in One Image Restoration☆24Updated 3 months ago
- ☆23Updated 2 months ago
- Code for RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing lmage Dehazing☆21Updated 3 months ago
- [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration☆35Updated last year
- [AAAI24] SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency☆18Updated 10 months ago
- (Nature Communications Engineering 2024) Compressive Confocal Microscopy Imaging at the Single-Photon Level with Ultra-Low Sampling Ratio…☆24Updated last month
- Optimization-Inspired Cross-Attention Transformer for Compressive Sensing (CVPR 2023)☆40Updated 2 years ago