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Pluralistic Image Completion with Probabilistic Mixture-of-Experts. (arXiv:2205.09086v1 [cs.CV])
May 19, 2022, 1:11 a.m. | Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu
cs.LG updates on arXiv.org arxiv.org
Pluralistic image completion focuses on generating both visually realistic
and diverse results for image completion. Prior methods enjoy the empirical
successes of this task. However, their used constraints for pluralistic image
completion are argued to be not well interpretable and unsatisfactory from two
aspects. First, the constraints for visual reality can be weakly correlated to
the objective of image completion or even redundant. Second, the constraints
for diversity are designed to be task-agnostic, which causes the constraints to
not work …
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