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We present imGHUM, the first holistic generative model of 3D human shape and articulated pose, represented as a signed distance function.
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Convolutional occupancy networks
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GHUM & GHUML: Generative 3d human shape and articulated pose models
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TexMesh: Reconstructing detailed human texture and geometry from RGB-D video
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LEAP: Learning articulated occupancy of people
Marko Mihajlovic, Yan Zhang, Michael J Black, and Siyu Tang · 2021
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SCANimate: Weakly supervised learning of skinned clothed avatar networks
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