3 papers
cs.CV2026
MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation
Miaowei Wang, Jakub Zadrożny, Oisin Mac Aodha +1
Accurately simulating existing 3D objects and a wide variety of materials often demands expert knowledge and time-consuming physical parameter tuning to achieve the desired dynamic…
cs.CV2024
Spatially-Adaptive Hash Encodings For Neural Surface Reconstruction
Thomas Walker, Octave Mariotti, Amir Vaxman +1
Positional encodings are a common component of neural scene reconstruction methods, and provide a way to bias the learning of neural fields towards coarser or finer representations…
cs.CV2024
CrossSDF: 3D Reconstruction of Thin Structures From Cross-Sections
Thomas Walker, Salvatore Esposito, Daniel Rebain +4
Reconstructing complex structures from planar cross-sections is a challenging problem, with wide-reaching applications in medical imaging, manufacturing, and topography. Out-of-the…