no code implementations • 23 Nov 2024 • Ryugo Morita, Stanislav Frolov, Brian Bernhard Moser, Takahiro Shirakawa, Ko Watanabe, Andreas Dengel, Jinjia Zhou
To address this limitation, we present a novel Training-Free Chroma Key Content Generation Diffusion Model (TKG-DM), which optimizes the initial random noise to produce images with foreground objects on a specifiable color background.
no code implementations • 27 Sep 2024 • Dai Shimizu, Ko Watanabe, Andreas Dengel
Brain activity synchronizes during speaking and listening tasks.
no code implementations • 17 Sep 2024 • Ryugo Morita, Hitoshi Nishimura, Ko Watanabe, Andreas Dengel, Jinjia Zhou
In recent years, deep learning-based image compression, particularly through generative models, has emerged as a pivotal area of research.
1 code implementation • 19 Aug 2024 • Vijul Shah, Brian B. Moser, Ko Watanabe, Andreas Dengel
Capturing pupil diameter is essential for assessing psychological and physiological states such as stress levels and cognitive load.
1 code implementation • 15 Jul 2024 • Vijul Shah, Ko Watanabe, Brian B. Moser, Andreas Dengel
By providing a dataset of cropped eye images alongside corresponding pupil diameter information, EyeDentify enables the development and refinement of models designed specifically for less-equipped environments, democratizing pupil diameter estimation by making it more accessible and broadly applicable, which in turn contributes to multiple domains of understanding human activity and supporting healthcare.