Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach

Zhihao Li, Yufei Wang, A.C. Kot, Bihan Wen
2/12/2026

No official code found. Best implementation: lizhihao6/Cleans (6 stars, last commit 2024-07-21).

Semantic Scholar

Code Implementations(1)

lizhihao6/CleansCommunity67%

[ICML 2024] Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach

60May 31, 20242 years ago

Similar Papers

View from Above: Orthogonal-View Aware Cross-View Localization

98% match2026

AutoCGP: Closed-Loop Concept-Guided Policies from Unlabeled Demonstrations

97% match2026

SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints

97% match1 repo22026

HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos

96% match1 repo342026

Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification

94% match2026

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution

94% match2026

Cite this paper

@article{li2026compress,
  title  = {Compress Clean Signal from Noisy Raw Image: A Self-Supervised Approach},
  author = {Zhihao Li and Yufei Wang and A.C. Kot and Bihan Wen},
  year   = {2026},
  url    = {https://api.semanticscholar.org/CorpusID:68355bfe4ff4cb69ef1a7248b05485ae974fea6c},
  journal = {ICML 2024 2024}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/68355bfe4ff4cb69ef1a7248b05485ae974fea6c.svg)](https://codeofpaper.com/paper/68355bfe4ff4cb69ef1a7248b05485ae974fea6c)

Discussion