Matting by Generation-Reference-Cited by-同舟云学术

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Matting by Generation

Published:2024-07-13 Issue: Volume:28 Page:1-11
ISSN:
Container-title:Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24
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Author:

Wang Zhixiang¹^ORCID,Li Baiang²^ORCID,Wang Jian³^ORCID,Liu Yu-Lun⁴^ORCID,Gu Jinwei⁵^ORCID,Chuang Yung-Yu⁶^ORCID,Satoh Shin'Ichi⁷^ORCID

Affiliation:

1. The University of Tokyo, Japan and National Institute of Informatics, Japan

2. Hefei University of Technology, China

3. Snap Research, United States of America

4. National Yang Ming Chiao Tung University, Taiwan

5. The Chinese University of Hong Kong, Hong Kong

6. National Taiwan University, Taiwan

7. National Institute of Informatics, Japan

Publisher

ACM

Reference60 articles.

1. Yagiz Aksoy Tunç Ozan Aydin and Marc Pollefeys. 2017. Designing effective inter-pixel information flow for natural image matting. In CVPR.

2. Omer Bar-Tal Lior Yariv Yaron Lipman and Tali Dekel. 2023. MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. In ICML.

3. Tim Brooks Aleksander Holynski and Alexei A. Efros. 2023. InstructPix2Pix: Learning to Follow Image Editing Instructions. In CVPR.

4. Ryan Burgert, Kanchana Ranasinghe, Xiang Li, and Michael S Ryoo. 2023. Peekaboo: Text to image diffusion models are zero-shot segmentors. In CVPRW.

5. Quan Chen Tiezheng Ge Yanyu Xu Zhiqiang Zhang Xinxin Yang and Kun Gai. 2018. Semantic human matting. In ACM MM.

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