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 5, 2024 | Video Processing, Visual Computing
QUADify: Extracting Meshes with Pixel-level Details and Materials from Images In this work, we propose a method to extract regular quad-dominant meshes from posed images. More specifically, we generate a high-quality 3D model through de- composition into an easily...
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...
by America Ortiz | May 8, 2024 | Machine Learning
CADS: Unleashing the Diversity of Diffusion Models Through Condition-Annealed Sampling Our sampling strategy anneals the conditioning signal by adding scheduled, monotonically decreasing Gaussian noise to the conditioning vector during inference to balance diversity...
