4 papers
ARM: Appearance Reconstruction Model for Relightable 3D Generation
Xiang Feng, Chang Yu, Zoubin Bi +6
Recent image-to-3D reconstruction models have greatly advanced geometry generation, but they still struggle to faithfully generate realistic appearance. To address this, we introdu…
ElastoGen: 4D Generative Elastodynamics
Yutao Feng, Yintong Shang, Xiang Feng +7
We present ElastoGen, a knowledge-driven AI model that generates physically accurate 4D elastodynamics. Unlike deep models that learn from video- or image-based observations, Elast…
Gaussian Splashing: Unified Particles for Versatile Motion Synthesis and Rendering
Yutao Feng, Xiang Feng, Yintong Shang +8
We demonstrate the feasibility of integrating physics-based animations of solids and fluids with 3D Gaussian Splatting (3DGS) to create novel effects in virtual scenes reconstructe…
PIE-NeRF: Physics-based Interactive Elastodynamics with NeRF
Yutao Feng, Yintong Shang, Xuan Li +3
We show that physics-based simulations can be seamlessly integrated with NeRF to generate high-quality elastodynamics of real-world objects. Unlike existing methods, we discretize…