by America Ortiz | Dec 11, 2023 | Animation, Visual Computing
Pose and Skeleton-aware Neural IK for Pose and Motion Editing In this work, we introduce SKEL-IK, a novel architecture and training scheme that is conditioned on a base pose and designed to flow information directly onto the skeletal graph structure, such that hard...
by America Ortiz | Dec 9, 2023 | Video Processing, Visual Computing
Empowering Convolutional Neural Networks with MetaSin Activation In this work, we propose replacing a baseline network’s existing activations with a novel ensemble function with trainable parameters. The proposed METASIN activation can be trained reliably without...
by America Ortiz | Nov 29, 2023 | Capture, Visual Computing
An Implicit Physical Face Model Driven by Expression and Style We propose a new face model based on a data-driven implicit neural physics model that can be driven by both expression and style separately. At the core, we present a framework for learning implicit...
by America Ortiz | Oct 9, 2023 | Capture, Visual Computing
A Perceptual Shape Loss for Monocular 3D Face Reconstruction In this work, we propose a new loss function for monocular face capture, inspired by how humans would perceive the quality of a 3D face reconstruction given a particular image. It is widely known that...
by America Ortiz | Oct 2, 2023 | Capture, Visual Computing
ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting In this paper, we target the application scenario of capturing high-fidelity assets for neural relighting in controlled studio conditions, but without requiring a dense light stage. Instead, we...
