activity
20222026
most citedDrivable 3D Gaussian Avatars

18 citations · 20 across the 8 of their papers we have counts for

collaborators

8 papers

cs.GR2026

How to Build Digital Humans? From Priors to Photorealistic Avatars

Wojciech Zielonka, Tobias Kirschstein, Timo Bolkart +8

This state-of-the-art report provides an overview of controllable 3D human avatar creation. We describe current 3D avatar systems, which typically consist of three stages: (i) lear…

cs.CV2026

PhysHead: Simulation-Ready Gaussian Head Avatars

Berna Kabadayi, Vanessa Sklyarova, Wojciech Zielonka +2

Realistic digital avatars require expressive and dynamic hair motion; however, most existing head avatar methods assume rigid hair movement. These methods often fail to disentangle…

cs.CV2025

Synthetic Prior for Few-Shot Drivable Head Avatar Inversion

Wojciech Zielonka, Stephan J. Garbin, Alexandros Lattas +5

We present SynShot, a novel method for the few-shot inversion of a drivable head avatar based on a synthetic prior. We tackle three major challenges. First, training a controllable…

cs.CV2024

Gaussian Eigen Models for Human Heads

Wojciech Zielonka, Timo Bolkart, Thabo Beeler +1

Current personalized neural head avatars face a trade-off: lightweight models lack detail and realism, while high-quality, animatable avatars require significant computational reso…

cs.CV2023

GAN-Avatar: Controllable Personalized GAN-based Human Head Avatar

Berna Kabadayi, Wojciech Zielonka, Bharat Lal Bhatnagar +2

Digital humans and, especially, 3D facial avatars have raised a lot of attention in the past years, as they are the backbone of several applications like immersive telepresence in…

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…