activity
20182026
most citedTextured Neural Avatars

16 citations · 18 across the 8 of their papers we have counts for

collaborators

13 papers

cs.CV20261 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.CV20261 cited

GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos

Yiqian Wu, Rawal Khirodkar, Egor Zakharov +6

We present GenLCA, a diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs. The generated avatars are faithful to…

cs.CV2026

Large-scale Codec Avatars: The Unreasonable Effectiveness of Large-scale Avatar Pretraining

Junxuan Li, Rawal Khirodkar, Chengan He +37

High-quality 3D avatar modeling faces a critical trade-off between fidelity and generalization. On the one hand, multi-view studio data enables high-fidelity modeling of humans wit…

cs.CV2026

CamLit: Unified Video Diffusion with Explicit Camera and Lighting Control

Zhiyi Kuang, Chengan He, Egor Zakharov +6

We present CamLit, the first unified video diffusion model that jointly performs novel view synthesis (NVS) and relighting from a single input image. Given one reference image, a u…

cs.CV2025

FactorPortrait: Controllable Portrait Animation via Disentangled Expression, Pose, and Viewpoint

Jiapeng Tang, Kai Li, Chengxiang Yin +8

We introduce FactorPortrait, a video diffusion method for controllable portrait animation that enables lifelike synthesis from disentangled control signals of facial expressions, h…

cs.CV2025

Im2Haircut: Single-view Strand-based Hair Reconstruction for Human Avatars

Vanessa Sklyarova, Egor Zakharov, Malte Prinzler +3

We present a novel approach for 3D hair reconstruction from single photographs based on a global hair prior combined with local optimization. Capturing strand-based hair geometry f…