DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation
Author:
Affiliation:
1. Adobe Research, United States of America
2. Simon Fraser University, Canada
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
ACM
Reference78 articles.
1. Zero-Shot 3D Shape Correspondence
2. Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, and Peter Wonka. 2023b. SATR: Zero-shot semantic segmentation of 3D Shapes. In ICCV.
3. Jean-Baptiste Alayrac 2022. Flamingo: a visual language model for few-shot learning. NeurIPS (2022).
4. Federica Bogo Javier Romero Gerard Pons-Moll and Michael J. Black. 2017. Dynamic FAUST: Registering Human Bodies in Motion. In CVPR.
5. Maxime Bucher, Tuan-Hung Vu, Matthieu Cord, and Patrick Pérez. 2019. Zero-shot semantic segmentation. NeurIPS (2019).
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