Jérémy Scanvic
Hi there. 👋 I am a PhD student at
ENSL and Foxstream,
working on self-supervised learning for imaging inverse problems including image super-resolution and deblurring, and most specifically focused on adapting equivariant imaging techniques to scale-invariance. Feel free to contact me if you have any question.
Talks
Image Deblurring and Super-Resolution by Learning from Blurry and Low-Resolution Images Only
July 9, 2024 at l'ENS de Lyon
Research
Self-Supervised Learning for Image Super-Resolution and Deblurring
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
Jérémy Scanvic, Mike Davies, Patrice Abry, Julián Tachella
arXiv 2023
Contributed projects
Deep Inverse
- an open-source PyTorch library for solving imaging inverse problems using deep learning
- written by Julián Tachella, Dongdong Chen, Samuel Hurault and Matthieu Terris
Equational Theories
- a collaborative research project in universal algebra
- lead by Terrence Tao
Personal projects
Spectrogram
- a real-time spectrogram running in the browser
- featured at la Fête de la Science (2024)