FVIFormer: Flow-Guided Global-Local Aggregation Transformer Network for Video Inpainting-Reference-Cited by-同舟云学术

FVIFormer: Flow-Guided Global-Local Aggregation Transformer Network for Video Inpainting

Published:2024-06 Issue:2 Volume:14 Page:235-244
ISSN:2156-3357
Container-title:IEEE Journal on Emerging and Selected Topics in Circuits and Systems
language:
Short-container-title:IEEE J. Emerg. Sel. Topics Circuits Syst.

Author:

Yan Weiqing¹^ORCID,Sun Yiqiu¹,Yue Guanghui²^ORCID,Zhou Wei³^ORCID,Liu Hantao³^ORCID

Affiliation:

1. School of Computer and Control Engineering, Yantai University, Yantai, China

2. School of Biomedical Engineering, Shenzhen University Medical School, Shenzhen University, Shenzhen, China

3. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.

Funder

Youth Innovation Team Project of Higher Education Institutions in Shandong Province

Science and Technology Innovation Development Plan Projects of Yantai

National Natural Science Foundation of China

Natural Science Foundation of Shenzhen

Medicine Plus Program of Shenzhen University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference49 articles.

2. The 2018 Davis challenge on video object segmentation;Caelles;arXiv:1803.00557,2018

5. Frame-recurrent video inpainting by robust optical flow inference;Ding;arXiv:1905.02882,2019

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2. Guest Editorial Advances in Generative Visual Signal Coding and Processing;IEEE Journal on Emerging and Selected Topics in Circuits and Systems;2024-06