all AI news
An Analysis of Generative Methods for Multiple Image Inpainting. (arXiv:2205.02146v1 [cs.CV])
Web: http://arxiv.org/abs/2205.02146
May 5, 2022, 1:10 a.m. | Coloma Ballester, Aurelie Bugeau, Samuel Hurault, Simone Parisotto, Patricia Vitoria
cs.CV updates on arXiv.org arxiv.org
Image inpainting refers to the restoration of an image with missing regions
in a way that is not detectable by the observer. The inpainting regions can be
of any size and shape. This is an ill-posed inverse problem that does not have
a unique solution. In this work, we focus on learning-based image completion
methods for multiple and diverse inpainting which goal is to provide a set of
distinct solutions for a given damaged image. These methods capitalize on the …
More from arxiv.org / cs.CV updates on arXiv.org
Latest AI/ML/Big Data Jobs
Data Analyst, Patagonia Action Works
@ Patagonia | Remote
Data & Insights Strategy & Innovation General Manager
@ Chevron Services Company, a division of Chevron U.S.A Inc. | Houston, TX
Faculty members in Research areas such as Bayesian and Spatial Statistics; Data Privacy and Security; AI/ML; NLP; Image and Video Data Analysis
@ Ahmedabad University | Ahmedabad, India
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC