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Facial Animation with Disentangled Identity and Motion using Transformers
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
We propose a 3D+time framework for modeling dynamic sequences of 3D facial shapes, representing realistic non-rigid motion during a performance. Our work extends neural 3D morphable models by learning a motion manifold ...
Deep Reconstruction of 3D Smoke Densities from Artist Sketches
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
Creative processes of artists often start with hand-drawn sketches illustrating an object. Pre-visualizing these keyframes is especially challenging when applied to volumetric materials such as smoke. The authored 3D density ...
Automatic Feature Selection for Denoising Volumetric Renderings
(The Eurographics Association and John Wiley & Sons Ltd., 2022)
We propose a method for constructing feature sets that significantly improve the quality of neural denoisers for Monte Carlo renderings with volumetric content. Starting from a large set of hand-crafted features, we propose ...
A Perceptual Shape Loss for Monocular 3D Face Reconstruction
(The Eurographics Association and John Wiley & Sons Ltd., 2023)
Monocular 3D face reconstruction is a wide-spread topic, and existing approaches tackle the problem either through fast neural network inference or offline iterative reconstruction of face geometry. In either case ...
GANtlitz: Ultra High Resolution Generative Model for Multi-Modal Face Textures
(The Eurographics Association and John Wiley & Sons Ltd., 2024)
High-resolution texture maps are essential to render photoreal digital humans for visual effects or to generate data for machine learning. The acquisition of high resolution assets at scale is cumbersome, it involves ...
Neural Denoising for Deep-Z Monte Carlo Renderings
(The Eurographics Association and John Wiley & Sons Ltd., 2024)
We present a kernel-predicting neural denoising method for path-traced deep-Z images that facilitates their usage in animation and visual effects production. Deep-Z images provide enhanced flexibility during compositing ...