G2LP-Net: Global to Local Progressive Video Inpainting Network-Reference-Cited by-同舟云学术

G2LP-Net: Global to Local Progressive Video Inpainting Network

Published:2023-03 Issue:3 Volume:33 Page:1082-1092
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Ji Zhong¹^ORCID,Hou Jiacheng¹,Su Yimu¹,Pang Yanwei¹^ORCID,Li Xuelong²^ORCID

Affiliation:

1. Tianjin Key Laboratory of Brain-inspired Intelligence Technology, School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. Key Laboratory of Intelligent Interaction and Applications, School of Artificial Intelligence, OPtics and ElectroNics (iOPEN), Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/10061510/09903056.pdf?arnumber=9903056

Reference47 articles.

1. Flow-edge Guided Video Completion

2. Structure-Guided Deep Video Inpainting

3. Deep Flow-Guided Video Inpainting

4. Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection

5. Temporal Group Fusion Network for Deep Video Inpainting

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