SpecTrHuMS: Spectral transformer for human mesh sequence learning

We present SpecTrHuMS, a Spectral Transformer for 3D triangular Human Mesh Sequence learning which combines known deep learning models with spectral mesh processing to capture characteristics of 3D shapes as well as temporal dependencies between the frames. Unlike previous works in this field, our a...

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Vydané v:	Computers & graphics Ročník 115; s. 191 - 203
Hlavní autori:	Lemeunier, Clément, Denis, Florence, Lavoué, Guillaume, Dupont, Florent
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.10.2023 Elsevier
Predmet:	Autoencoder Computer Science Computer Vision and Pattern Recognition Geometric deep learning Human body triangular mesh sequences Machine Learning Spectral analysis Transformers Transformers Geometric deep learning Autoencoder Human body triangular mesh sequences Spectral analysis Geometric Deep Learning
ISSN:	0097-8493
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