5 papers
Latent Space Reinforcement Learning for Inverse Material Estimation in Food Fracture Simulation
Adrian Ramlal, Yuhao Chen, John S. Zelek
Realistic visual simulation of food manipulation requires accurate material parameters, yet these are difficult to measure directly and vary across the heterogeneous regions of a s…
PersistGS: Differentiable Physics for Object Permanence in 4D Gaussian Splatting
Adrian Ramlal, John S. Zelek
Dynamic 3D Gaussian Splatting (3DGS) methods reconstruct time-varying scenes from synchronized multi-camera video using photometric supervision. When a moving object becomes fully…
Beyond Static Gaussians: An Empirical Investigation of Architectural Paradigms for Dynamic 3D Scene Reconstruction
Adrian Ramlal, John S. Zelek
Dynamic scene reconstruction via 3D Gaussian Splatting (3DGS) has emerged as a compelling approach for representing evolving environments, yet understanding trade-offs between meth…
Optimizing 3D Gaussian Splatting via Point Cloud Upsampling
Adrian Ramlal, Yan Song Hu, John S. Zelek
3D Gaussian Splatting (3DGS) is a technique for creating and rendering 3D scenes, however its performance depends heavily on the quality of initial seed points. To improve 3DGS ini…
Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions
Adrian Ramlal, John S. Zelek
Integrating dynamic 3D reconstructions into physics simulation requires fixed mesh topology for efficient collision detection, but state-of-the-art methods like DG-Mesh produce var…