Deep Compositional Phase Diffusion for Long Motion Sequence Generation

NeurIPSOral2025

Authors
Ho Yin Au, Jie Chen, Junkun Jiang, Jingyu Xiang
Affiliation
Hong Kong Baptist University
Venue
NeurIPS 2025
Track
Oral

TL;DR

The proposed Compositional Phase Diffusion framework consistently generates semantically aligned multi-clip motion with smooth transitions by using latent-phase diffusion modules (SPDM and TPDM) to preserve phase continuity and enable inbetweening.

Opening excerpt from the authors’ abstract. source

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Topics

diffusion

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