MATCH: Feed-forward Gaussian Registration for Head Avatar Creation and Editing

Malte Prinzler, Paulo Gotardo, Siyu Tang, Timo Bolkart
CVPR 2026

Given calibrated multi-view images, MATCH infers static Gaussian splat textures in 0.5 seconds. The resulting Gaussians are in dense semantic correspondence across subjects and expressions. This allows for various applications such as editing, expression transfer, and fast avatar optimization.

Joker: Conditional 3D Head Synthesis with Extreme Facial Expressions

Malte Prinzler, Egor Zakharov, Vanessa Slyarova, Berna Kabadayi, Justus Thies
3DV 2025

Joker uses one reference image to generate a 3D reconstruction with a novel extreme expression. The target expression is defined through 3DMM parameters and text prompts. The text prompts effectively resolve ambiguities in the 3DMM input and can control emotion-related expression subtleties and tongue articulation.

AnimPortrait3D: Text-based Animatable 3D Avatars with Morphable Model Alignment

Yiqian Wu, Malte Prinzler, Xiaogang Jin, Siyu Tang
Siggraph 2025

AnimPortrait3D creates animatable 3D avatars from text descriptions, achieving realistic appearance and geometry while maintaining accurate alignment with the underlying parametric mesh. Prompt: "A 40-year-old gentleman with a chiseled jawline, slightly graying hair slicked back into a neat undercut, dressed in a navy pinstriped suit, a red tie complementing his fair complexion - confidently walking through a bustling city street".

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

Vanessa Sklyarova, Egor Zakharov, Malte Prinzler, Giorgio Becherini, Michael Black, Justus Thies
ICCV 2025

Given a single image, Im2Haircut generates high-quality, strand-based 3D hair geometry. Method consists of a prior hair geometry model trained on a mixture of synthetic and real data that is finetuned using the input image at inference time.

3DiFACE: Synthesizing and Editing Holistic 3D Facial Animation

Balamurugan Thambiraja, Malte Prinzler, Sadegh Aliakbarian, Darren Cosker, Justus Thies
3DV 2025

3DiFACE is a novel diffusion-based method for synthesizing and editing holistic 3D facial animation from an audio sequence, wherein one can synthesize a diverse set of facial animations (top), seamlessly edit facial animations between two or multiple user-specified keyframes, and extrapolating motion from past motion (bottom).

DINER: Depth-aware Image-based NEural Radiance fields

Malte Prinzler, Otmar Hilliges, Justus Thies
CVPR 2023

Based on sparse input views, we predict depth and feature maps to infer a volumetric scene representation in terms of a radiance field which enables novel viewpoint synthesis. The depth information allows us to use input views with high relative distance such that the scene can be captured more completely and with higher synthesis quality compared to previous state-of-the-art methods.

Neural Head Avatars from Monocular RGB Videos

Philip-William Grassal^*, Malte Prinzler^*, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies (^*equal contribution)
CVPR 2022

Given a monocular portrait video of a person, we reconstruct a Neural Head Avatar. Such a 4D avatar will be the foundation of applications like teleconferencing in VR/AR, since it enables novel-view synthesis and control over pose and expression.

Visual Fashion Attribute Prediction

Internship project on vision-based regression of descriptive features for apparel products. Given an image of a garment, a 2D convolutional network extracts scores for a predefined set of attributes. This allows for attribute-based product similarity matching and recommendation applications.