From the 1 of 5 linked papers with an AI index.
5 papers
SOMA: From Surface Observations to Muscle Anatomy
Eduardo Alvarado, Emily Kim, Gerrit Nolte +4
The paper introduces SOMA, a method that infers individual muscle deformations from multi‑view RGB images of a person’s surface, enabling anatomically realistic human animations wi…
Towards Real-World Wearable Motion Reconstruction
Andrea Boscolo Camiletto, Rishabh Dabral, Eduardo Alvarado +3
The modern-day surge in popularity of wearable devices poses a fundamentally unique motion capture problem: reconstructing full-body movement from any set of sensing hardware worn…
Step2Motion: Locomotion Reconstruction from Pressure Sensing Insoles
Jose Luis Ponton, Eduardo Alvarado, Lin Geng Foo +3
Human motion is fundamentally driven by continuous physical interaction with the environment. Whether walking, running, or simply standing, the forces exchanged between our feet an…
FRAME: Floor-aligned Representation for Avatar Motion from Egocentric Video
Andrea Boscolo Camiletto, Jian Wang, Eduardo Alvarado +4
Egocentric motion capture with a head-mounted body-facing stereo camera is crucial for VR and AR applications but presents significant challenges such as heavy occlusions and limit…
BimArt: A Unified Approach for the Synthesis of 3D Bimanual Interaction with Articulated Objects
Wanyue Zhang, Rishabh Dabral, Vladislav Golyanik +5
We present BimArt, a novel generative approach for synthesizing 3D bimanual hand interactions with articulated objects. Unlike prior works, we do not rely on a reference grasp, a c…