4 papers
4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans
Renlong Wu, Haoran Chen, Yuxiang Wei +3
The paper introduces 4DHumanDiff, a diffusion-based framework that directly generates 360-degree dynamic human models as 4D Gaussian Splatting representations from text prompts, el…
PhysChoreo: Physics-Controllable Video Generation with Part-Aware Semantic Grounding
Haoze Zhang, Tianyu Huang, Zichen Wan +4
While recent video generation models have achieved significant visual fidelity, they often suffer from the lack of explicit physical controllability and plausibility. To address th…
Physics Consistency and Latent Dynamics in Spatiotemporal Physics Field Generation
Peimian Du, Jiabin Liu, Xiaowei Jin +2
Data-driven models for spatiotemporal physical field generation, such as flow and acoustic fields, often deviate from governing equations and lack interpretability in latent tempor…
AI paradigm for solving differential equations: first-principles data generation and scale-dilation operator AI solver
Xiangshu Gong, Zhiqiang Xie, Xiaowei Jin +4
Many problems are governed by differential equations (DEs). Artificial intelligence (AI) is a new path for solving DEs. However, data is very scarce and existing AI solvers struggl…