Invention Grant
- Patent Title: Network and system for neural pose transfer
-
Application No.: US17016943Application Date: 2020-09-10
-
Publication No.: US11455776B2Publication Date: 2022-09-27
- Inventor: Yanwei Fu , Xiangyang Xue , Yinda Zhang , Chao Wen , Haitao Lin , Jiashun Wang , Tianyun Zou
- Applicant: Fudan University
- Applicant Address: CN Shanghai
- Assignee: Fudan University
- Current Assignee: Fudan University
- Current Assignee Address: CN Shanghai
- Agency: Intelink Law Group, P.C.
- Agent Brad Bertoglio
- Priority: CN202010630438.3 20200630
- Main IPC: G06T17/20
- IPC: G06T17/20 ; G06T19/20 ; G06N3/08 ; G06N3/04

Abstract:
A network for neural pose transfer includes a pose feature extractor, and a style transfer decoder, wherein the pose feature extractor comprises a plurality of sequential extracting stacks, each extracting stack consists of a first convolution layer and an Instance Norm layer sequential to the first convolution layer. The style transfer decoder comprises a plurality of sequential decoding stacks, a second convolution layer sequential to the plurality of decoding stacks and a tan h layer sequential to the second convolution layer. Each decoding stack consists of a third convolution layer and a SPAdaIn residual block. A source pose mesh is input to the pose feature extractor, and an identity mesh is concatenated with the output of the pose feature extractor and meanwhile fed to each SPAdaIn residual block of the style transfer decoder. A system thereof is also provided.
Public/Granted literature
- US20210407200A1 Network and System for Neural Pose Transfer Public/Granted day:2021-12-30
Information query