activity
20232026
most citedDrivable 3D Gaussian Avatars

18 citations · 20 across the 9 of their papers we have counts for

collaborators

11 papers

cs.CV2026★ 1 cited

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★ 1 cited

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

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…

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

Relightable Full-Body Gaussian Codec Avatars

Shaofei Wang, Tomas Simon, Igor Santesteban +15

We propose Relightable Full-Body Gaussian Codec Avatars, a new approach for modeling relightable full-body avatars with fine-grained details including face and hands. The unique ch…

cs.CV2024

URHand: Universal Relightable Hands

Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo +20

Existing photorealistic relightable hand models require extensive identity-specific observations in different views, poses, and illuminations, and face challenges in generalizing t…

cs.CV2024

From Audio to Photoreal Embodiment: Synthesizing Humans in Conversations

Evonne Ng, Javier Romero, Timur Bagautdinov +4

We present a framework for generating full-bodied photorealistic avatars that gesture according to the conversational dynamics of a dyadic interaction. Given speech audio, we outpu…

cs.CV2023

Diffusion Shape Prior for Wrinkle-Accurate Cloth Registration

Jingfan Guo, Fabian Prada, Donglai Xiang +5

Registering clothes from 4D scans with vertex-accurate correspondence is challenging, yet important for dynamic appearance modeling and physics parameter estimation from real-world…

cs.CV2023★ 18 cited

Drivable 3D Gaussian Avatars

Wojciech Zielonka, Timur Bagautdinov, Shunsuke Saito +3

We present Drivable 3D Gaussian Avatars (D3GA), a multi-layered 3D controllable model for human bodies that utilizes 3D Gaussian primitives embedded into tetrahedral cages. The adv…