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...
by America Ortiz | Jun 3, 2024 | Capture, VFX
Anatomically Constrained Implicit Face Models In this work, we present a novel use case for such implicit representations in the context of learning anatomically constrained face models. June 3, 2024CVPR (2024) Authors Prashanth Chandran...
