Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Cosker, Darren P."'
Autor:
Hewitt, Charlie, Saleh, Fatemeh, Aliakbarian, Sadegh, Petikam, Lohit, Rezaeifar, Shideh, Florentin, Louis, Hosenie, Zafiirah, Cashman, Thomas J, Valentin, Julien, Cosker, Darren, Baltrusaitis, Tadas
We tackle the problem of highly-accurate, holistic performance capture for the face, body and hands simultaneously. Motion-capture technologies used in film and game production typically focus only on face, body or hand capture independently, involve
Externí odkaz:
http://arxiv.org/abs/2410.11520
We present 3DiFACE, a novel method for personalized speech-driven 3D facial animation and editing. While existing methods deterministically predict facial animations from speech, they overlook the inherent one-to-many relationship between speech and
Externí odkaz:
http://arxiv.org/abs/2312.00870
Generating both plausible and accurate full body avatar motion is the key to the quality of immersive experiences in mixed reality scenarios. Head-Mounted Devices (HMDs) typically only provide a few input signals, such as head and hands 6-DoF. Recent
Externí odkaz:
http://arxiv.org/abs/2308.11261
Automatic perception of human behaviors during social interactions is crucial for AR/VR applications, and an essential component is estimation of plausible 3D human pose and shape of our social partners from the egocentric view. One of the biggest ch
Externí odkaz:
http://arxiv.org/abs/2304.06024
Autor:
Thambiraja, Balamurugan, Habibie, Ikhsanul, Aliakbarian, Sadegh, Cosker, Darren, Theobalt, Christian, Thies, Justus
Speech-driven 3D facial animation has been widely explored, with applications in gaming, character animation, virtual reality, and telepresence systems. State-of-the-art methods deform the face topology of the target actor to sync the input audio wit
Externí odkaz:
http://arxiv.org/abs/2301.00023
Synthetic data is becoming increasingly common for training computer vision models for a variety of tasks. Notably, such data has been applied in tasks related to humans such as 3D pose estimation where data is either difficult to create or obtain in
Externí odkaz:
http://arxiv.org/abs/2107.07330
Autor:
Roubtsova, Nadejda, Parsons, Martin, Binetti, Nicola, Mareschal, Isabelle, Viding, Essi, Cosker, Darren
3D facial modelling and animation in computer vision and graphics traditionally require either digital artist's skill or complex pipelines with objective-function-based solvers to fit models to motion capture. This inaccessibility of quality modellin
Externí odkaz:
http://arxiv.org/abs/2107.00480
The automatic extraction of animal \reb{3D} pose from images without markers is of interest in a range of scientific fields. Most work to date predicts animal pose from RGB images, based on 2D labelling of joint positions. However, due to the difficu
Externí odkaz:
http://arxiv.org/abs/2004.07788
Publikováno v:
NIPS 2018
Current unsupervised image-to-image translation techniques struggle to focus their attention on individual objects without altering the background or the way multiple objects interact within a scene. Motivated by the important role of attention in hu
Externí odkaz:
http://arxiv.org/abs/1806.02311
Autor:
Needham, Laurie, Evans, Murray, Wade, Logan, Cosker, Darren P., McGuigan, Miranda Polly, Bilzon, James L., Colyer, Steffi L.
Publikováno v:
In Journal of Biomechanics November 2022 144
