by America Ortiz | Oct 16, 2025 | Capture, VFX, Visual Computing
Monocular Facial Appearance Capture in the Wild In this work, we present a new method for reconstructing the appearance properties of human faces from a lightweight capture procedure in an unconstrained environment. October 16, 2025International Conference on Computer...
by America Ortiz | Jul 21, 2025 | Capture, Machine Learning, VFX
Synth2Track Editor for Efficient Match-Animation In this work, we developed new tools that significantly reduces the time required for complex shots, combining automation with human expertise to overcome the limitations of current markerless motion capture systems....
by America Ortiz | Jul 9, 2025 | Capture, VFX, Visual Computing
ScaffoldAvatar: High-Fidelity Gaussian Avatars with Patch Expressions In this work, we propose to couple locally-defined facial expressions with 3D Gaussian splatting to enable creating ultra-high fidelity, expressive and photorealistic head avatars. July 10,...
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...
