by America Ortiz | May 13, 2025 | Capture, VFX, Visual Computing
Gaussian Billboards: Expressive 2D Gaussian Splatting with Textures In this work we highlight the similarity between 2D Gaussian Splatting (2DGS) and billboards from traditional computer graphics. Both use flat semitransparent 2D geometry that is positioned, oriented...
by America Ortiz | May 11, 2025 | Capture, VFX, Visual Computing
Neural Facial Deformation Transfer In this work, we first present a simple data generation strategy to automatically create a large training dataset consisting of pairs of template and target character shapes in the same expression. We then leverage this dataset...
by America Ortiz | Jul 28, 2024 | Capture, VFX, Visual Computing
Learning a Generalized Physical Face Model From Data In this work, we aim to make physics-based facial animation more accessible by proposing a generalized physical face model that we learn from a large 3D face dataset. Once trained, our model can be quickly fit to...
by America Ortiz | Jun 7, 2024 | Capture, VFX, Visual Computing
Infinite 3D Landmarks: Improving Continuous 2D Facial Landmark Detection In this work, 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 can directly...
by America Ortiz | Jun 7, 2024 | Capture, VFX, Visual Computing
Stylize My Wrinkles: Bridging the Gap from Simulation to Reality In this work we aim to overcome the gap between synthetic simulation and real skin scanning, by proposing a method that can be applied to large skin regions (e.g. an entire face) with the controllability...
by America Ortiz | Jun 3, 2024 | Capture, VFX
Artist-Friendly Relightable and Animatable Neural Heads In this work, we simultaneously tackle both the motion and illumination problem, proposing a new method for relightable and animatable neural heads. June 3, 2024CVPR (2024) Authors Yingyan Xu...
