8 papers
Detailed Geometry and Appearance from Opportunistic Motion
Ryosuke Hirai, Kohei Yamashita, Antoine Guédon +3
Reconstructing 3D geometry and appearance from a sparse set of fixed cameras is a foundational task with broad applications, yet it remains fundamentally constrained by the limited…
How good was my shot? Quantifying Player Skill Level in Table Tennis
Akihiro Kubota, Tomoya Hasegawa, Ryo Kawahara +1
Gauging an individual's skill level is crucial, as it inherently shapes their behavior. Quantifying skill, however, is challenging because it is latent to the observed actions. To…
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…
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…
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…