1 code implementation • 12 Aug 2023 • Zhichao Wang, Mengyu Dai, Keld Lundgaard
In the second stage, an audio-driven talking head generation method is employed to produce compelling videos privided the audio generated in the first stage.
1 code implementation • 4 Dec 2021 • Mengyu Dai, Haibin Hang, Xiaoyang Guo
Training of generative models especially Generative Adversarial Networks can easily diverge in low-data setting.
no code implementations • 8 Sep 2021 • Mengyu Dai, Haibin Hang, Anuj Srivastava
The study of multidimensional discriminator (critic) output for Generative Adversarial Networks has been underexplored in the literature.
2 code implementations • ICCV 2021 • Mengyu Dai, Haibin Hang
We propose a manifold matching approach to generative models which includes a distribution generator (or data generator) and a metric generator.
no code implementations • 26 Apr 2019 • Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
This paper studies change-points in human brain functional connectivity (FC) and seeks patterns that are common across multiple subjects under identical external stimulus.
1 code implementation • 10 Apr 2019 • Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
Human brain functional connectivity (FC) is often measured as the similarity of functional MRI responses across brain regions when a brain is either resting or performing a task.