Пожалуйста, войдите в систему, чтобы принять участие в дискуссии (добавить собственные рецензию, или комментарий)
Цитировать эту публикацию
%0 Journal Article
%1 lugmayr2022repaint
%A Lugmayr, Andreas
%A Danelljan, Martin
%A Romero, Andres
%A Yu, Fisher
%A Timofte, Radu
%A Van Gool, Luc
%D 2022
%K diffusion image inpainting
%T RePaint: Inpainting using Denoising Diffusion Probabilistic Models
@article{lugmayr2022repaint,
added-at = {2023-11-03T10:34:55.000+0100},
author = {Lugmayr, Andreas and Danelljan, Martin and Romero, Andres and Yu, Fisher and Timofte, Radu and Van Gool, Luc},
biburl = {https://www.bibsonomy.org/bibtex/23c5f9c5a12658f1ac9244bda61444381/tritsch},
interhash = {c04b5a1c6cd734e501d714ae54783903},
intrahash = {3c5f9c5a12658f1ac9244bda61444381},
keywords = {diffusion image inpainting},
timestamp = {2023-11-03T10:34:55.000+0100},
title = {RePaint: Inpainting using Denoising Diffusion Probabilistic Models},
year = 2022
}