Text-Guided Synthesis of Crowd Animation

Author:

Ji Xuebo1ORCID,Pan Zherong2ORCID,Gao Xifeng2ORCID,Pan Jia1ORCID

Affiliation:

1. Department of Computer Science, The University of Hong Kong, China and Centre for Transformative Garment Production (TransGP), China

2. LightSpeed Studios, United States of America

Funder

Hong Kong General Research Fund

Guangdong, Hong Kong and Macao Joint Innovation Project

Innovation and Technology Commission

Publisher

ACM

Reference55 articles.

1. Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, 2023. Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).

2. Social LSTM: Human Trajectory Prediction in Crowded Spaces

3. Tenglong Ao Zeyi Zhang and Libin Liu. [n. d.]. GestureDiffuCLIP: Gesture Diffusion Model with CLIP Latents. ACM Trans. Graph. ([n. d.]) 18 pages. https://doi.org/10.1145/3592097

4. Gideon DPA Aschwanden, Simon Haegler, Frédéric Bosché, Luc Van Gool, and Gerhard Schmitt. 2011. Empiric design evaluation in urban planning. Automation in construction 20, 3 (2011), 299–310.

5. Aniket Bera Sujeong Kim and Dinesh Manocha. 2016. Interactive and adaptive data-driven crowd simulation: User study. In 2016 IEEE Virtual Reality (VR). 325–325. https://doi.org/10.1109/VR.2016.7504784

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