3 papers
cs.CV2026
Neural Voxel Dynamics: Learning Implicit 3D Physics via Volumetric Feature Advection
Zican Wang, Niloy Mitra
We present a self-supervised framework for learning implicit 3D physical dynamics directly from video-derived supervisory signals. While current generative video models achieve hig…
cs.LG2026
Learning to Solve PDEs on Neural Shape Representations
Lilian Welschinger, Yilin Liu, Zican Wang +1
Solving partial differential equations (PDEs) on shapes underpins many shape analysis and engineering tasks; yet, prevailing PDE solvers operate on polygonal/triangle meshes while…
cs.GR2025
Stochastic Gradient Estimation for Higher-order Differentiable Rendering
Zican Wang, Michael Fischer, Tobias Ritschel
We derive methods to compute higher order differentials (Hessians and Hessian-vector products) of the rendering operator. Our approach is based on importance sampling of a convolut…