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We present SCULPT, a novel 3D generative model for clothed and textured 3D meshes of humans.
Adam: A method for stochastic optimization
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Sijie Song, Wei Zhang, Jiaying Liu, and Tao Mei · 2019
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Learning to dress 3D people in generative clothing
Qianli Ma, Jinlong Yang, Anurag Ranjan, Sergi Pujades, Gerard Pons-Moll, Siyu Tang, and Michael J. Black · 2020
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StyleGAN-Human: A data-centric Odyssey of human generation
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GET3D: A generative model of high quality 3D textured shapes learned from images
Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, and Sanja Fidler · 2022
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https://www.zalando.de , 2021
Zalando · 2021
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PI-GAN: Periodic implicit generative adversarial networks for 3D-aware image synthesis
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Smplicit: Topology-aware generative model for clothed people
Enric Corona, Albert Pumarola, Guillem Alenya, Gerard Pons-Moll, and Francesc Moreno-Noguer · 2021
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Alias-free generative adversarial networks
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Unsupervised learning of efficient geometry-aware neural articulated representations
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ICON: Implicit clothed humans obtained from normals
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AvatarGen: a 3D generative model for animatable human avatars
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EVA3D: Compositional 3D human generation from 2D image collections
Fangzhou Hong, Zhaoxi Chen, Yushi LAN, Liang Pan, and Ziwei Liu · 2023
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