Diffusion Motion: Generate Text-Guided 3D Human Motion by Diffusion Model
Author:
Affiliation:
1. Michigan State University,East Lansing,MI,USA,48824
2. Baidu Research (USA),Sunnyvale,CA,USA,94089
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096441.pdf?arnumber=10096441
Reference21 articles.
1. Hierarchical text-conditional image generation with clip latents;ramesh,2022
2. Classifier-free diffusion guidance;ho,2022
3. Diffusion Probabilistic Models for 3D Point Cloud Generation
4. Diffwave: A versatile diffusion model for audio synthesis;kong,2020
5. Text2Gestures: A Transformer-Based Network for Generating Emotive Body Gestures for Virtual Agents
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1. DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models;ACM Transactions on Graphics;2024-07-19
2. LAGOON: Language-Guided Motion Control;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
3. CReStyler: Text-Guided Single Image Style Transfer Method Based on CNN and Restormer;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
4. Enhancing Human Action Recognition with 3D Skeleton Data: A Comprehensive Study of Deep Learning and Data Augmentation;Electronics;2024-02-13
5. Bipartite Graph Diffusion Model for Human Interaction Generation;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03
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