all AI news
DriftRec: Adapting diffusion models to blind JPEG restoration
April 4, 2024, 4:43 a.m. | Simon Welker, Henry N. Chapman, Timo Gerkmann
cs.LG updates on arXiv.org arxiv.org
Abstract: In this work, we utilize the high-fidelity generation abilities of diffusion models to solve blind JPEG restoration at high compression levels. We propose an elegant modification of the forward stochastic differential equation of diffusion models to adapt them to this restoration task and name our method DriftRec. Comparing DriftRec against an $L_2$ regression baseline with the same network architecture and state-of-the-art techniques for JPEG restoration, we show that our approach can escape the tendency of …
abstract adapt arxiv blind compression cs.cv cs.lg differential differential equation diffusion diffusion models eess.iv equation fidelity solve stochastic them type work
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Senior Principal, Product Strategy Operations, Cloud Data Analytics
@ Google | Sunnyvale, CA, USA; Austin, TX, USA
Data Scientist - HR BU
@ ServiceNow | Hyderabad, India