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1 Ergebnisse
1
ARAPReg: An As-Rigid-As Possible Regularization Loss for Le..:
, In:
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Huang, Qixing
;
Huang, Xiangru
;
Sun, Bo
... - p. 5795-5805 , 2021
Link:
https://doi.org/10.1109/ICCV48922.2021.00576
RT T1 <cTitle>2021 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9710926&Exemplar=1&LAN=DE A1 Huang, Qixing A1 Huang, Xiangru A1 Sun, Bo A1 Zhang, Zaiwei A1 Jiang, Junfeng A1 Bajaj, Chandrajit YR 2021 SN 2380-7504 K1 Training K1 Computer vision K1 Codes K1 Closed-form solutions K1 Shape K1 Bones K1 Generators K1 Neural generative models; Optimization and learning methods SP 5795 OP 5805 LK http://dx.doi.org/https://doi.org/10.1109/ICCV48922.2021.00576 DO https://doi.org/10.1109/ICCV48922.2021.00576 SF ELIB - SuUB Bremen
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