Speech-Driven Facial Reenactment Using Conditional Generative Adversarial Networks

Autor: Jalalifar, Seyed Ali, Hasani, Hosein, Aghajan, Hamid

We present a novel approach to generating photo-realistic images of a face with accurate lip sync, given an audio input. By using a recurrent neural network, we achieved mouth landmarks based on audio features. We exploited the power of conditional g

Externí odkaz: http://arxiv.org/abs/1803.07461

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A Self-Attention-Guided 3D Deep Residual Network With Big Transfer to Predict Local Failure in Brain Metastasis After Radiotherapy Using Multi-Channel MRI.

Autor: Jalalifar SA; Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork University Toronto ON M3J 1P3 Canada., Soliman H; Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.; Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.; Department of Radiation OncologyUniversity of Toronto Toronto ON M5T 1P5 Canada., Sahgal A; Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.; Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.; Department of Radiation OncologyUniversity of Toronto Toronto ON M5T 1P5 Canada., Sadeghi-Naini A; Department of Electrical Engineering and Computer ScienceLassonde School of EngineeringYork University Toronto ON M3J 1P3 Canada.; Physical Sciences PlatformSunnybrook Research Institute, Sunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.; Department of Radiation OncologyOdette Cancer CentreSunnybrook Health Sciences Centre Toronto ON M4N 3M5 Canada.

Publikováno v: IEEE journal of translational engineering in health and medicine [IEEE J Transl Eng Health Med] 2022 Nov 04; Vol. 11, pp. 13-22. Date of Electronic Publication: 2022 Nov 04 (Print Publication: 2023).