Zobrazeno 1 - 10
of 2 948
pro vyhledávání: '"Computer facial animation"'
Autor:
Jingying Liu, Jingyu Yang, Yebin Liu, Yunke Liu, Yu-Kun Lai, Kun Li, Binyuan Hui, Yuxiang Zhang
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 28:4873-4886
Realistic speech-driven 3D facial animation is a challenging problem due to the complex relationship between speech and face. In this paper, we propose a deep architecture, called Geometry-guided Dense Perspective Network (GDPnet), to achieve speaker
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16c3d339784c0619fd4760466b62cb5f
https://doi.org/10.1109/tvcg.2021.3107669
https://doi.org/10.1109/tvcg.2021.3107669
Autor:
Rizwan Sadiq, Engin Erzin
Publikováno v:
IEEE Transactions on Affective Computing
Although speech driven facial animation has been studied extensively in the literature, works focusing on the affective content of the speech are limited. This is mostly due to the scarcity of affective audio-visual data. In this article, we improve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04d8258124332b3aeb2fd2ba2cfe6171
https://doi.org/10.1109/taffc.2020.3008456
https://doi.org/10.1109/taffc.2020.3008456
Publikováno v:
IEEE Transactions on Multimedia. 24:2539-2552
We propose a real-time speaker-independent speech-to-facial animation system that predicts lip and jaw movements on a reference face for audio speech taken from any speaker. Our approach is motivated by two key observations; 1) Speaker-independent fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6e2fd4605efb785218b93c94bfdb8f4
https://doi.org/10.1109/tmm.2021.3087020
https://doi.org/10.1109/tmm.2021.3087020
Publikováno v:
Neural Computing and Applications. 34:2719-2728
Deep neural network (DNN) has gone through more than forty years from the simulation stage to the embryonic stage, to the conception and the initial formation of the theory, until further simple applications. Firstly, deep convolution neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96d999fd3a534735455aa8ad4a5a10ac
https://doi.org/10.1007/s00521-021-06140-1
https://doi.org/10.1007/s00521-021-06140-1
Autor:
Ladislav Kavan, Sangeetha Grama Srinivasan, Qisi Wang, Eftychios Sifakis, Junior Rojas, Gergely Klár
Publikováno v:
ACM Transactions on Graphics. 40:1-14
Humans and animals can control their bodies to generate a wide range of motions via low-dimensional action signals representing high-level goals. As such, human bodies and faces are prime examples of active objects, which can affect their shape via a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1795a767b8de8b5a210457ad82b994e5
https://doi.org/10.1145/3450626.3459883
https://doi.org/10.1145/3450626.3459883
Autor:
Karan Singh, Joonho Kim
Publikováno v:
ACM Transactions on Graphics. 40:1-12
Complex deformable face-rigs have many independent parameters that control the shape of the object. A human face has upwards of 50 parameters (FACS Action Units), making conventional UI controls hard to find and operate. Animators address this proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bc0f15c13cbc8d8cf27cc77b8453ad52
https://doi.org/10.1145/3450626.3459842
https://doi.org/10.1145/3450626.3459842
Autor:
Jason Saragih, Fernando De la Torre, Lele Chen, Vasu Agrawal, Yaser Sheikh, Tomas Simon, Chen Cao
Publikováno v:
ACM Transactions on Graphics. 40:1-17
We present a method for performing real-time facial animation of a 3D avatar from binocular video. Existing facial animation methods fail to automatically capture precise and subtle facial motions for driving a photo-realistic 3D avatar "in-the-wild"
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b094a919c91c3c0f71ec34a111f750f
https://doi.org/10.1145/3450626.3459806
https://doi.org/10.1145/3450626.3459806
Autor:
Nikolaos Vlachopoulos, Ioana Lese, Adriaan O. Grobbelaar, Saif Al Azzawi, Konstantinos Gasteratos, Georgia-Alexandra Spyropoulou
Publikováno v:
Journal of Plastic, Reconstructive & Aesthetic Surgery. 74:1423-1435
Background Pediatric facial palsy represents a rare multifactorial entity. Facial reanimation restores smiling, thus boosting self-confidence and social integration of the affected children. The purpose of this paper is to present a systematic review
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0650d243d8fdaaa719fddd3a5825d397
https://doi.org/10.1016/j.bjps.2021.01.007
https://doi.org/10.1016/j.bjps.2021.01.007
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:3226-3237
In this article, we present a data-driven approach for modeling and animation of 3D necks. Our method is based on a new neck animation model that decomposes the neck animation into local deformation caused by larynx motion and global deformation driv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52006d17a71a9fcbc579f6a2c38ea92
https://doi.org/10.1109/tvcg.2020.2967036
https://doi.org/10.1109/tvcg.2020.2967036
Publikováno v:
International Journal of Advanced Research in Science, Communication and Technology. :242-246
Speech driven facial animation can be regarded as a speech-to-face translation. Speech driven facial motion synthesis involves Speech analysis and face modeling. This method makes use of still image of a person and speech signals to produce an animat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c435de4c55b3525099fe8637e031e05a
https://doi.org/10.48175/ijarsct-989
https://doi.org/10.48175/ijarsct-989