Transformer Based Pluralistic Image Completion With Reduced Information Loss-Reference-Cited by-同舟云学术

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Transformer Based Pluralistic Image Completion With Reduced Information Loss

Published:2024-10 Issue:10 Volume:46 Page:6652-6668
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Liu Qiankun¹^ORCID,Jiang Yuqi¹^ORCID,Tan Zhentao²^ORCID,Chen Dongdong³^ORCID,Fu Ying¹^ORCID,Chu Qi²^ORCID,Hua Gang⁴^ORCID,Yu Nenghai²^ORCID

Affiliation:

1. School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China

2. School of Information Science and Technology, University of Science and Technology of China, Hefei, Anhui, China

3. Microsoft Cloud AI, Redmond, WA, USA

4. Wormpex AI Research LLC, Bellevue, WA, USA

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10666888/10488726.pdf?arnumber=10488726

Reference64 articles.

1. SemanticAdv: Generating Adversarial Examples via Attribute-Conditioned Image Editing

2. Self-Supervised Scene De-Occlusion

3. PatchMatch

4. Efficient Semantic Image Synthesis via Class-Adaptive Normalization

5. Full-frame video stabilization with motion inpainting

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