Publications

@inproceedings{he_enhancing_2024,

title = {Enhancing Narratives with SayMotion's text-to-3D animation and LLMs},

author = {K. He and A. Lapham and Z. Li},

editor = {Spencer S.N.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200655076&doi=10.1145%2f3641520.3665309&partnerID=40&md5=458f935043e3372e633ed5fc13bf6cd7},

doi = {10.1145/3641520.3665309},

isbn = {979-840070526-7 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. - SIGGRAPH Real-Time Live!},

publisher = {Association for Computing Machinery, Inc},

abstract = {SayMotion, a generative AI text-to-3D animation platform, utilizes deep generative learning and advanced physics simulation to transform text descriptions into realistic 3D human motions for applications in gaming, extended reality (XR), film production, education and interactive media. SayMotion addresses challenges due to the complexities of animation creation by employing a Large Language Model (LLM) fine-tuned to human motion with further AI-based animation editing components including spatial-temporal Inpainting via a proprietary Large Motion Model (LMM). SayMotion is a pioneer in the animation market by offering a comprehensive set of AI generation and AI editing functions for creating 3D animations efficiently and intuitively. With an LMM at its core, SayMotion aims to democratize 3D animations for everyone through language and generative motion. © 2024 Owner/Author.},

keywords = {3D animation, AI-based animation, Animation, Animation editing, Deep learning, Film production, Human motions, Interactive computer graphics, Interactive media, Language Model, Motion models, Physics simulation, Production medium, Simulation platform, Three dimensional computer graphics},

pubstate = {published},

tppubtype = {inproceedings}

}