Abstract | ||
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We address the problem of inferring a human shape from partial observations, such as depth images, in temporal sequences. Deep Neural Networks (DNN) have been shown successful to estimate detailed shapes on a frame-by-frame basis but consider yet little or no temporal information over frame sequences for detailed shape estimation. Recently, networks that implicitly encode shape occupancy using MLP... |
Year | DOI | Venue |
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2021 | 10.1109/3DV53792.2021.00076 | 2021 International Conference on 3D Vision (3DV) |
Keywords | DocType | ISSN |
4D Reconstruction,Implicit Function,Neural Networks | Conference | 2378-3826 |
ISBN | Citations | PageRank |
978-1-6654-2688-6 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
B Zhou | 1 | 0 | 0.34 |
JS Franco | 2 | 0 | 0.34 |
Federica Bogo | 3 | 343 | 11.46 |
Edmond Boyer | 4 | 2758 | 130.84 |