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Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting

Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting

by America Ortiz | Jan 3, 2024 | Video Processing, Visual Computing

Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting In this paper, we present a novel method for high-resolution 2D-to-3D conversion. It is fully differentiable in all of its stages and performs disparity-informed warping, consistent...
Pose and Skeleton-aware Neural IK for Pose and Motion Editing

Pose and Skeleton-aware Neural IK for Pose and Motion Editing

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...
Empowering Convolutional Neural Networks with MetaSin Activation

Empowering Convolutional Neural Networks with MetaSin Activation

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...
An Implicit Physical Face Model Driven by Expression and Style

An Implicit Physical Face Model Driven by Expression and Style

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...
A Perceptual Shape Loss for Monocular 3D Face Reconstruction

A Perceptual Shape Loss for Monocular 3D Face Reconstruction

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...
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