Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching

S. Fadnavis, Agniva Chowdhury, Joshua Batson, P. Drineas, E. Garyfallidis
2/9/2026

No official code found. Best implementation: ShreyasFadnavis/patch2self2 (3 stars, last commit 2024-02-27).

DOISemantic Scholar

Code Implementations(1)

ShreyasFadnavis/patch2self2Community58%

[CVPR24] Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching

30Python, Jupyter NotebookJun 2, 20212 years ago

Similar Papers

Semi-Open 3D Object Retrieval via Hierarchical Equilibrium on Hypergraph

98% match2026

Contamination-Resilient Anomaly Detection via Adversarial Learning on Partially-Observed Normal and Anomalous Data

96% match1 repo12026

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding

96% match1 repo152026

PoseIRM: Enhance 3D Human Pose Estimation on Unseen Camera Settings via Invariant Risk Minimization

96% match1 repo32026

InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping

96% match1 repo32026

Referring Image Editing: Object-Level Image Editing via Referring Expressions

96% match2026

Cite this paper

@article{fadnavis2026patchself,
  title  = {Patch2Self2: Self-Supervised Denoising on Coresets via Matrix Sketching},
  author = {S. Fadnavis and Agniva Chowdhury and Joshua Batson and P. Drineas and E. Garyfallidis},
  year   = {2026},
  doi    = {10.1109/CVPR52733.2024.02610},
  url    = {https://www.osti.gov/biblio/2378095},
  journal = {CVPR 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/577f70577a72b8a81008e67d18cfbd45a6dd54d5.svg)](https://codeofpaper.com/paper/577f70577a72b8a81008e67d18cfbd45a6dd54d5)

Discussion