10 citations · 29 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
Infinite 3D Landmarks: Improving Continuous 2D Facial Landmark Detection
Prashanth Chandran, Gaspard Zoss, Paulo Gotardo +1
In this paper, we examine 3 important issues in the practical use of state-of-the-art facial landmark detectors and show how a combination of specific architectural modifications c…
Learning a Generalized Physical Face Model From Data
Lingchen Yang, Gaspard Zoss, Prashanth Chandran +4
Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-colli…
An Implicit Physical Face Model Driven by Expression and Style
Lingchen Yang, Gaspard Zoss, Prashanth Chandran +5
3D facial animation is often produced by manipulating facial deformation models (or rigs), that are traditionally parameterized by expression controls. A key component that is usua…