collaborators

8 papers

cs.CV2026

GeoRelight: Learning Joint Geometrical Relighting and Reconstruction with Flexible Multi-Modal Diffusion Transformers

Yuxuan Xue, Ruofan Liang, Egor Zakharov +6

Relighting a person from a single photo is an attractive but ill-posed task, as a 2D image ambiguously entangles 3D geometry, intrinsic appearance, and illumination. Current method…

cs.GR2025

MHR: Momentum Human Rig

Aaron Ferguson, Ahmed A. A. Osman, Berta Bescos +44

We present MHR, a parametric human body model that combines the decoupled skeleton/shape paradigm of ATLAS with a flexible, modern rig and pose corrective system inspired by the Mo…

cs.CV2025

Avat3r: Large Animatable Gaussian Reconstruction Model for High-fidelity 3D Head Avatars

Tobias Kirschstein, Javier Romero, Artem Sevastopolsky +2

Traditionally, creating photo-realistic 3D head avatars requires a studio-level multi-view capture setup and expensive optimization during test-time, limiting the use of digital hu…

cs.CV2025

ATLAS: Decoupling Skeletal and Shape Parameters for Expressive Parametric Human Modeling

Jinhyung Park, Javier Romero, Shunsuke Saito +7

Parametric body models offer expressive 3D representation of humans across a wide range of poses, shapes, and facial expressions, typically derived by learning a basis over registe…

cs.GR2025

3DGH: 3D Head Generation with Composable Hair and Face

Chengan He, Junxuan Li, Tobias Kirschstein +7

We present 3DGH, an unconditional generative model for 3D human heads with composable hair and face components. Unlike previous work that entangles the modeling of hair and face, w…

cs.CV2025

FRESA: Feedforward Reconstruction of Personalized Skinned Avatars from Few Images

Rong Wang, Fabian Prada, Ziyan Wang +10

We present a novel method for reconstructing personalized 3D human avatars with realistic animation from only a few images. Due to the large variations in body shapes, poses, and c…