← Search

Huirong Li

2 accepted papers

2023

FineMoGen: Fine-Grained Spatio-Temporal Motion Generation and Editing

NeurIPS 2023poster

Text-driven motion generation has achieved substantial progress with the emergence of diffusion models. However, existing methods still struggle to generate complex motion sequences that correspond to fine-grained descriptions, depicting detailed and accurate spatio-temporal actions.This lack of fin…

2023

ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model

ICCV 2023poster

3D human motion generation is crucial for creative industry. Recent advances rely on generative models with domain knowledge for text-driven motion generation, leading to substantial progress in capturing common motions. However, the performance on more diverse motions remains unsatisfactory. In thi…

Cited by 167PDFcodeScholar