Language-Free Compositional Action Generation via Decoupling Refinement-Reference-Cited by-同舟云学术

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Language-Free Compositional Action Generation via Decoupling Refinement

Published:2024-04-14 Issue: Volume:34 Page:2910-2914
ISSN:
Container-title:ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Liu Xiao¹,Chen Guangyi²,Tang Yansong¹,Wang Guangrun³,Zhang Xiao-Ping¹,Lim Ser-Nam⁴

Affiliation:

1. Tsinghua University,Shenzhen Key Laboratory of Ubiquitous Data Enabling, Tsinghua Shenzhen International Graduate School,China

2. Carnegie Mellon University,Pittsburgh,PA,USA

3. University of Oxford,UK

4. University of Central Florida,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10445798/10445803/10448207.pdf?arnumber=10448207

Reference30 articles.

1. Building machines that learn and think like people

2. Action-Conditioned 3D Human Motion Synthesis with Transformer VAE

3. Action2Motion

4. Compositional transformers for scene generation;Hudson;NeurIPS,2021

5. MotionCLIP: Exposing Human Motion Generation to CLIP Space

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