Title
Spatio-Temporal Human Shape Completion With Implicit Function Networks
Abstract
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
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 Zhou100.34
JS Franco200.34
Federica Bogo334311.46
Edmond Boyer42758130.84