31 citations · 72 across the 13 of their papers we have counts for
10 papers · 1 filter
TeGA: Texture Space Gaussian Avatars for High-Resolution Dynamic Head Modeling
Gengyan Li, Paulo Gotardo, Timo Bolkart +5
Sparse volumetric reconstruction and rendering via 3D Gaussian splatting have recently enabled animatable 3D head avatars that are rendered under arbitrary viewpoints with impressi…
Ego4o: Egocentric Human Motion Capture and Understanding from Multi-Modal Input
Jian Wang, Rishabh Dabral, Diogo Luvizon +4
This work focuses on tracking and understanding human motion using consumer wearable devices, such as VR/AR headsets, smart glasses, cellphones, and smartwatches. These devices pro…
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…
Learning to Stabilize Faces
Jan Bednarik, Erroll Wood, Vasileios Choutas +4
Nowadays, it is possible to scan faces and automatically register them with high quality. However, the resulting face meshes often need further processing: we need to stabilize the…
FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces
Safa C. Medin, Gengyan Li, Ruofei Du +5
3D rendering of dynamic face captures is a challenging problem, and it demands improvements on several fronts$\unicode{x2014}$photorealism, efficiency, compatibility, and configura…
MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space
Armand Comas-Massagué, Di Qiu, Menglei Chai +9
We introduce a novel framework for 3D human avatar generation and personalization, leveraging text prompts to enhance user engagement and customization. Central to our approach are…