TEMOS: Generating diverse human motions from textual descriptions

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TEMOS: Generating diverse human motions from textual descriptions

25 April 2022

Mathis Petrovich

Michael J. Black

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Papers citing "TEMOS: Generating diverse human motions from textual descriptions"

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Title
Human Motion Modeling using DVGANs Xiaoyu Lin Mohamed R. Amer 67 75 0 27 Apr 2018
HP-GAN: Probabilistic 3D human motion prediction via GAN Emad Barsoum J. Kender Zicheng Liu 3DH 86 331 0 27 Nov 2017
Text2Action: Generative Adversarial Synthesis from Language to Action Hyemin Ahn Timothy Ha Yunho Choi Hwiyeon Yoo Songhwai Oh GAN 48 144 0 15 Oct 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 713 131,652 0 12 Jun 2017
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks Matthias Plappert Christian Mandery Tamim Asfour 3DH 126 132 0 18 May 2017
On human motion prediction using recurrent neural networks Julieta Martinez Michael J. Black Javier Romero 3DH 96 936 0 06 May 2017
The KIT Motion-Language Dataset Matthias Plappert Christian Mandery Tamim Asfour 248 286 0 13 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,929 0 20 Dec 2013
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 397 33,550 0 16 Oct 2013