Automatic unpaired shape deformation transfer

Author:

Gao Lin1,Yang Jie2,Qiao Yi-Ling3,Lai Yu-Kun4,Rosin Paul L.4,Xu Weiwei5,Xia Shihong1

Affiliation:

1. Chinese Academy of Sciences

2. Chinese Academy of Sciences and University of Chinese Academy of Sciences

3. CAS and University of Chinese Academy of Sciences

4. Cardiff University

5. Zhejiang University

Funder

Alibaba IDEA Lab

Fundamental research fund for the central universities

NVIDIA Corporation

Young Elite Scientists Sponsorship Program by CAST

National Natural Science Foundation of China

CCF-Tencent Open Fund

Royal Society-Newton Mobility Grant

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference59 articles.

1. SCAPE

2. Semantic deformation transfer

3. Spatial deformation transfer

4. Davide Boscaini Jonathan Masci Emanuele Rodolà and Michael Bronstein. 2016a. Learning shape correspondence with anisotropic convolutional neural networks. In Advances in Neural Information Processing Systems (NIPS). 3189--3197. Davide Boscaini Jonathan Masci Emanuele Rodolà and Michael Bronstein. 2016a. Learning shape correspondence with anisotropic convolutional neural networks. In Advances in Neural Information Processing Systems (NIPS). 3189--3197.

5. Anisotropic Diffusion Descriptors

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