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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.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…