1 citations · 1 across the 1 of their papers we have counts for
7 papers
RelightAnyone: A Generalized Relightable 3D Gaussian Head Model
Yingyan Xu, Pramod Rao, Sebastian Weiss +5
3D Gaussian Splatting (3DGS) has become a standard approach to reconstruct and render photorealistic 3D head avatars. A major challenge is to relight the avatars to match any scene…
FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation
Xinya Ji, Sebastian Weiss, Manuel Kansy +4
Despite recent progress in 3D Gaussian-based head avatar modeling, efficiently generating high fidelity avatars remains a challenge. Current methods typically rely on extensive mul…
Multimodal Conditional 3D Face Geometry Generation
Christopher Otto, Prashanth Chandran, Sebastian Weiss +3
We present a new method for multimodal conditional 3D face geometry generation that allows user-friendly control over the output identity and expression via a number of different c…
Monocular Facial Appearance Capture in the Wild
Yingyan Xu, Kate Gadola, Prashanth Chandran +4
We present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. Our method recovers the su…
ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions
Shivangi Aneja, Sebastian Weiss, Irene Baeza +4
Generating high-fidelity real-time animated sequences of photorealistic 3D head avatars is important for many graphics applications, including immersive telepresence and movies. Th…
Joint Learning of Depth and Appearance for Portrait Image Animation
Xinya Ji, Gaspard Zoss, Prashanth Chandran +4
2D portrait animation has experienced significant advancements in recent years. Much research has utilized the prior knowledge embedded in large generative diffusion models to enha…