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Facial Hair Tracking for High Fidelity Performance Capture

Facial Hair Tracking for High Fidelity Performance Capture

by Martina Megaro | Jul 24, 2022 | Capture, Digital Humans, Machine Learning

Facial Hair Tracking for High Fidelity Performance Capture   We demonstrate the proposed capture pipeline on a variety of different facial hair styles and lengths, ranging from sparse and short to dense full-beards. July 24, 2022ACM SIGGRAPH 2022   Authors...
Shape Transformers: Topology-Independent 3D Shape Models Using Transformers

Shape Transformers: Topology-Independent 3D Shape Models Using Transformers

by Martina Megaro | Apr 25, 2022 | Capture, Digital Humans, Machine Learning

Shape Transformers: Topology-Independent 3D Shape Models Using Transformers   We present a new nonlinear parametric 3D shape model based on transformer architectures. April 25, 2022Eurographics 2022   Authors Prashanth Chandran (DisneyResearch|Studios/ETH Joint...
Improved Lighting Models for Facial Appearance Capture

Improved Lighting Models for Facial Appearance Capture

by Martina Megaro | Apr 25, 2022 | Capture, Digital Humans, Machine Learning

Improved Lighting Models for Facial Appearance Capture   We compare the results obtained with a state-of-the-art appearance capture method [RGB∗20], with and without our proposed improvements to the lighting model. April 25, 2022Eurographics 2022   Authors...
Neural Frame Interpolation for Rendered Content

Neural Frame Interpolation for Rendered Content

by Martina Megaro | Nov 30, 2021 | Video Processing, Visual Computing

Neural Frame Interpolation for Rendered Content   We propose solutions for leveraging auxiliary features to obtain better motion estimates, more accurate occlusion handling, and to correctly reconstruct non-linear motion between keyframes. November 30, 2021ACM...
Rendering with Style: Combining Traditional and Neural Approaches for High-Quality Face Rendering

Rendering with Style: Combining Traditional and Neural Approaches for High-Quality Face Rendering

by Martina Megaro | Nov 30, 2021 | Capture, Digital Humans, Machine Learning

Rendering with Style: Combining Traditional and Neural Approaches for High-Quality Face Rendering   We propose to combine incomplete, high-quality renderings showing only facial skin with recent methods for neural rendering of faces, in order to automatically and...
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