2 citations · 2 across the 6 of their papers we have counts for
6 papers · 1 filter
Brain2Face: A Study on the Relation of EEG Signals and Spatio-temporal Head Avatars
Camilo Andrés Martínez Martínez, Olaf Dünkel, Kartik Teotia +3
Driving digital head avatars is classically done by hand-crafted artist design or by image-based facial performance capture. In this work, we ask whether spatio-temporal tracking o…
STEER: Steerable Dyadic Head Avatars
Kartik Teotia, Helge Rhodin, Hyeongwoo Kim +2
Facial movement and expression are central to face-to-face communication, conveying turn-taking, attention, agreement, and engagement alongside speech. While speech-driven facial a…
Audio-Driven Universal Gaussian Head Avatars
Kartik Teotia, Helge Rhodin, Mohit Mendiratta +3
We introduce the first method for audio-driven universal photorealistic avatar synthesis, combining a person-agnostic speech model with our novel Universal Head Avatar Prior (UHAP)…
GaussianHeads: End-to-End Learning of Drivable Gaussian Head Avatars from Coarse-to-fine Representations
Kartik Teotia, Hyeongwoo Kim, Pablo Garrido +3
Real-time rendering of human head avatars is a cornerstone of many computer graphics applications, such as augmented reality, video games, and films, to name a few. Recent approach…
AvatarStudio: Text-driven Editing of 3D Dynamic Human Head Avatars
Mohit Mendiratta, Xingang Pan, Mohamed Elgharib +6
Capturing and editing full head performances enables the creation of virtual characters with various applications such as extended reality and media production. The past few years…
HQ3DAvatar: High Quality Controllable 3D Head Avatar
Kartik Teotia, Mallikarjun B R, Xingang Pan +4
Multi-view volumetric rendering techniques have recently shown great potential in modeling and synthesizing high-quality head avatars. A common approach to capture full head dynami…