Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising

Haijin Zeng, Jiezhang Cao, Kai Zhang, Yongyong Chen, H. Luong +1 more

2/9/2026

No official code found. Best implementation: NavyZeng/Diff-Unmix (47 stars, last commit 2025-06-17).

DOI Semantic Scholar

Code Implementations(1)

NavyZeng/Diff-UnmixCommunity65%

Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising

473PythonMay 30, 20241 years ago

Similar Papers

Improved Sampling Algorithms for Lévy-Itô Diffusion Models

Exploring Intrinsic Dimension for Vision-Language Model Pruning

Stiefel Flow Matching for Moment-Constrained Structure Elucidation

100% match1 repo112026

Deep Distributed Optimization for Large-Scale Quadratic Programming

Training Vision Transformers for Semi-Supervised Semantic Segmentation

100% match1 repo162026

General Stability Analysis for Zeroth-Order Optimization Algorithms

Cite this paper

@article{zeng2026unmixing,
  title  = {Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising},
  author = {Haijin Zeng and Jiezhang Cao and Kai Zhang and Yongyong Chen and H. Luong and Wilfried Philips},
  year   = {2026},
  doi    = {10.1109/CVPR52733.2024.02628},
  url    = {https://doi.org/10.1109/CVPR52733.2024.02628},
  journal = {CVPR 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

[![Code of Paper](https://codeofpaper.com/badge/2c7064762edba82f5b01dada9b047b9b38e35e40.svg)](https://codeofpaper.com/paper/2c7064762edba82f5b01dada9b047b9b38e35e40)

Discussion