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20242026
most citedDreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors

2 citations · 3 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

MeteoVerse: Unified Weather-Controllable Video World Model

Renlong Wu, Guanqiao Wang, Xuan Shang +5

Video world models aim to predict future content from an observed scene while following prescribed camera motion. Real-world scene evolution is determined not only by changes in vi…

cs.CV2026

CompAdapt: Adaptable Composite Motion Modeling for Physics-Consistent Text-to-Video Generation

Haoran Qin, Renlong Wu, Tianyu Huang +3

While diffusion-based text-to-video (T2V) models have demonstrated impressive capability in generating realistic and temporally coherent videos, they often fail to respect fundamen…

cs.CV2026

4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans

Renlong Wu, Haoran Chen, Yuxiang Wei +3

Generating high-quality 360-degree dynamic human assets from text prompts is challenging. Existing methods usually synthesize monocular or multi-view videos first and then fit a 4D…

quant-ph2026

Typical entanglement in anyon chains: Page curves beyond Lie group symmetries

Yale Yauk, Lucas Hackl, Alexander Hahn

We study bipartite entanglement statistics in one-dimensional anyon chains, whose Hilbert spaces are constrained by fusion rules of unitary pre-modular categories. Our setup genera…

cs.CV2026

Lie Flow: Video Dynamic Fields Modeling and Predicting with Lie Algebra as Geometric Physics Principle

Weidong Qiao, Wangmeng Zuo, Hui Li

Modeling 4D scenes requires capturing both spatial structure and temporal motion, which is challenging due to the need for physically consistent representations of complex rigid an…