fengyanzi / Local-Attribution-Map-for-Super-Resolution
The Local Attribution Map (LAM) is an interpretability tool for super-resolution reconstruction tasks. 局部归因图(Local Attribution Map,LAM)是一种用于超分辨率重建任务的诊断工具。
☆12Updated 5 months ago
Alternatives and similar repositories for Local-Attribution-Map-for-Super-Resolution
Users that are interested in Local-Attribution-Map-for-Super-Resolution are comparing it to the libraries listed below
Sorting:
- Official code for "Activating Wider Areas in Image Super-Resolution"☆13Updated 8 months ago
- [2023 TIP] An Efficient Multiscale Spatial Rearrangement MLP Architecture for Image Restoration.☆11Updated last year
- Local AtrrLocal Attribution Maps (LAM)☆14Updated 2 years 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
- ASID☆23Updated 3 months ago
- [TIP 2024] Official Implementation of "Neural Degradation Representation Learning for All-In-One Image Restoration"☆32Updated 6 months ago
- ☆59Updated last year
- [CVPR 2025] Efficient Visual State Space Model for Image Deblurring☆49Updated last month
- Offical implementation of Universal Image Restoration Pre-training via Degradation Classification (ICLR2025).☆41Updated 3 months ago
- Code for RSHazeDiff: A Unified Fourier-aware Diffusion Model for Remote Sensing lmage Dehazing☆23Updated 3 months ago
- [AAAI 25] Debiased All-in-one Image Restoration with Task Uncertainty Regularization☆13Updated 4 months ago
- Codes of Interpreting Low-level Vision Models with Causal Effect Maps☆24Updated 4 months ago
- [CVPR 2025] Complexity Experts are Task-Discriminative Learners for Any Image Restoration☆58Updated 2 months ago
- ☆27Updated last month
- ☆12Updated last month
- [CVPR 2025] Official implementation for "Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution".☆46Updated last month
- Official repository of the CVPR 2025 paper: Vision-Language Gradient Descent-driven All-in-One Deep Unfolding Networks.☆12Updated last month
- [AAAI 2024] Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration☆35Updated last year
- ☆83Updated 3 months ago
- [NeurIPS23] PromptRestorer: A Prompting Image Restoration Method with Degradation Perception☆15Updated 9 months ago
- CVPR2025-Progressive Focused Transformer for Single Image Super-Resolution☆45Updated 2 weeks ago
- ☆74Updated last month
- [AAAI24] SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency☆18Updated 10 months ago
- TMM 2024 The code of ' Degradation-Aware Self-Attention Based Transformer for Blind Image Super-Resolution '.☆28Updated last year
- Xformer: Hybrid X-Shaped Transformer for Image Denoising☆43Updated last year
- Official Code of the Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model (ICCV2023)☆53Updated 4 months ago
- CVPR2024: Transfer CLIP for Generalizable Image Denoising☆75Updated 11 months ago
- ☆35Updated 6 months ago
- ECCV2024:A Comparative Study of Image Restoration Networks for General Backbone Network Design☆105Updated 4 months ago
- PyTorch implementation for Test-Time Degradation Adaptation for Open-Set Image Restoration (ICML 2024, Spotlight)☆15Updated 10 months ago