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20242026
most citedRelightAnyone: A Generalized Relightable 3D Gaussian Head Model

1 citations · 1 across the 1 of their papers we have counts for

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6 papers

cs.CV20261 cited

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.GR2025

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…

cs.CV2024

Gaussian Billboards: Expressive 2D Gaussian Splatting with Textures

Sebastian Weiss, Derek Bradley

Gaussian Splatting has recently emerged as the go-to representation for reconstructing and rendering 3D scenes. The transition from 3D to 2D Gaussian primitives has further improve…