activity
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

collaborators

11 papers

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…

cs.CV2025

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…

cs.CV2025

PhysWorld: From Real Videos to World Models of Deformable Objects via Physics-Aware Demonstration Synthesis

Yu Yang, Zhilu Zhang, Xiang Zhang +3

Interactive world models that simulate object dynamics are crucial for robotics, VR, and AR. However, it remains a significant challenge to learn physics-consistent dynamics models…

cs.CV2025

Voyager: Long-Range and World-Consistent Video Diffusion for Explorable 3D Scene Generation

Tianyu Huang, Wangguandong Zheng, Tengfei Wang +8

Real-world applications like video gaming and virtual reality often demand the ability to model 3D scenes that users can explore along custom camera trajectories. While significant…

cs.CV2025★ 1 cited

Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting

Feng Yang, Wenliang Qian, Wangmeng Zuo +1

Score Distillation Sampling (SDS) leverages pretrained 2D diffusion models to advance text-to-3D generation but neglects multi-view correlations, being prone to geometric inconsist…

cs.CV2025

FramePainter: Endowing Interactive Image Editing with Video Diffusion Priors

Yabo Zhang, Xinpeng Zhou, Yihan Zeng +3

Interactive image editing allows users to modify images through visual interaction operations such as drawing, clicking, and dragging. Existing methods construct such supervision s…

cs.CV2024★ 2 cited

DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion Priors

Tianyu Huang, Haoze Zhang, Yihan Zeng +4

Dynamic 3D interaction has been attracting a lot of attention recently. However, creating such 4D content remains challenging. One solution is to animate 3D scenes with physics-bas…