Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Zoss, Gaspard"'
Autor:
Otto, Christopher, Chandran, Prashanth, Weiss, Sebastian, Gross, Markus, Zoss, Gaspard, Bradley, Derek
We present a new method for multimodal conditional 3D face geometry generation that allows user-friendly control over the output identity and expression via a number of different conditioning signals. Within a single model, we demonstrate 3D faces ge
Externí odkaz:
http://arxiv.org/abs/2407.01074
In this paper, 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 improve their accuracy and temporal stability. First, many
Externí odkaz:
http://arxiv.org/abs/2405.20117
Autor:
Yang, Lingchen, Zoss, Gaspard, Chandran, Prashanth, Gross, Markus, Solenthaler, Barbara, Sifakis, Eftychios, Bradley, Derek
Physically-based simulation is a powerful approach for 3D facial animation as the resulting deformations are governed by physical constraints, allowing to easily resolve self-collisions, respond to external forces and perform realistic anatomy edits.
Externí odkaz:
http://arxiv.org/abs/2402.19477
Autor:
Yang, Lingchen, Zoss, Gaspard, Chandran, Prashanth, Gotardo, Paulo, Gross, Markus, Solenthaler, Barbara, Sifakis, Eftychios, Bradley, Derek
3D facial animation is often produced by manipulating facial deformation models (or rigs), that are traditionally parameterized by expression controls. A key component that is usually overlooked is expression 'style', as in, how a particular expressi
Externí odkaz:
http://arxiv.org/abs/2401.15414
Autor:
Yang, Lingchen, Kim, Byungsoo, Zoss, Gaspard, Gözcü, Baran, Gross, Markus, Solenthaler, Barbara
Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation. Similar to recent work, this paper utilizes a differentiable, quasi-static, and physics-based simulation layer to optimize for actuation sig
Externí odkaz:
http://arxiv.org/abs/2401.14861
Autor:
Chandran, Prashanth, Zoss, Gaspard
Coordinate based implicit neural representations have gained rapid popularity in recent years as they have been successfully used in image, geometry and scene modeling tasks. In this work, we present a novel use case for such implicit representations
Externí odkaz:
http://arxiv.org/abs/2312.07538
Autor:
Xu, Yingyan, Chandran, Prashanth, Weiss, Sebastian, Gross, Markus, Zoss, Gaspard, Bradley, Derek
An increasingly common approach for creating photo-realistic digital avatars is through the use of volumetric neural fields. The original neural radiance field (NeRF) allowed for impressive novel view synthesis of static heads when trained on a set o
Externí odkaz:
http://arxiv.org/abs/2312.03420
Autor:
Otto, Christopher, Chandran, Prashanth, Zoss, Gaspard, Gross, Markus, Gotardo, Paulo, Bradley, Derek
Publikováno v:
Computer Graphics Forum, vol. 42, no. 7, 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 carefully-designed energy functions
Externí odkaz:
http://arxiv.org/abs/2310.19580
Autor:
Chandran, Prashanth1,2 (AUTHOR), Zoss, Gaspard2 (AUTHOR), Gross, Markus1,2 (AUTHOR), Gotardo, Paulo2 (AUTHOR), Bradley, Derek2 (AUTHOR)
Publikováno v:
Computer Graphics Forum. Dec2022, Vol. 41 Issue 8, p267-277. 11p. 6 Color Photographs, 1 Diagram, 1 Chart, 2 Graphs.
Autor:
Chandran, Prashanth1,2 (AUTHOR), Zoss, Gaspard2 (AUTHOR), Gross, Markus1,2 (AUTHOR), Gotardo, Paulo2 (AUTHOR), Bradley, Derek2 (AUTHOR)
Publikováno v:
Computer Graphics Forum. May2022, Vol. 41 Issue 2, p195-207. 13p. 6 Color Photographs, 14 Diagrams, 3 Charts.