5 papers
M-PhyGs: Multi-Material Object Dynamics from Video
Norika Wada, Kohei Yamashita, Ryo Kawahara +1
Knowledge of the physical material properties governing the dynamics of a real-world object becomes necessary to accurately anticipate its response to unseen interactions. Existing…
Spatial Polarization Multiplexing: Single-Shot Invisible Shape and Reflectance Recovery
Tomoki Ichikawa, Ryo Kawahara, Ko Nishino
We propose spatial polarization multiplexing (SPM) for joint sensing of shape and reflectance of a static or dynamic deformable object, which is also invisible to the naked eye. Pa…
SHeaP: Self-Supervised Head Geometry Predictor Learned via 2D Gaussians
Liam Schoneveld, Zhe Chen, Davide Davoli +4
Accurate, real-time 3D reconstruction of human heads from monocular images and videos underlies numerous visual applications. As 3D ground truth data is hard to come by at scale, p…
MAtCha Gaussians: Atlas of Charts for High-Quality Geometry and Photorealism From Sparse Views
Antoine Guédon, Tomoki Ichikawa, Kohei Yamashita +1
We present a novel appearance model that simultaneously realizes explicit high-quality 3D surface mesh recovery and photorealistic novel view synthesis from sparse view samples. Ou…
PBDyG: Position Based Dynamic Gaussians for Motion-Aware Clothed Human Avatars
Shota Sasaki, Jane Wu, Ko Nishino
This paper introduces a novel clothed human model that can be learned from multiview RGB videos, with a particular emphasis on recovering physically accurate body and cloth movemen…