by America Ortiz | Jun 17, 2024 | Video Processing, Visual Computing
Combining Frame and GOP Embeddings for Neural Video Representation In this paper, we propose T-NeRV, a hybrid video INR that combines frame-specific embeddings with GOP-specific features, providing a lever for content-specific fine-tuning. June 17, 2024 CVPR (2024)...
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 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
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...