Towards a Unified View of Unsupervised Non-Local Methods for Image Denoising: The NL-Ridge Approach. - Sébastien Herbreteau; Charles Kervrann (ICIP, 2022)

Unsupervised Linear and Iterative Combinations of Patches for Image Denoising. - Sébastien Herbreteau; Charles Kervrann (CoRR, 2022)

DCT2net: An Interpretable Shallow CNN for Image Denoising. - Sébastien Herbreteau; Charles Kervrann (IEEE Trans. Image Process., 2022)

Normalization-Equivariant Neural Networks with Application to Image Denoising. - Sébastien Herbreteau; Emmanuel Moebel; Charles Kervrann (NeurIPS, 2023)

A unified framework of non-local parametric methods for image denoising. - Sébastien Herbreteau; Charles Kervrann (CoRR, 2024)

On normalization-equivariance properties of supervised and unsupervised denoising methods: a survey. - Sébastien Herbreteau; Charles Kervrann (CoRR, 2024)

Self-Calibrated Variance-Stabilizing Transformations for Real-World Image Denoising. - Sébastien Herbreteau; Michael Unser (CoRR, 2024)

Linear Combinations of Patches are Unreasonably Effective for Single-Image Denoising. - Sébastien Herbreteau; Charles Kervrann (IEEE Trans. Image Process., 2024)

A Unified Framework of Nonlocal Parametric Methods for Image Denoising. - Sébastien Herbreteau; Charles Kervrann (SIAM J. Imaging Sci., 2025)