Search Results for author: Ko Watanabe

Found 5 papers, 2 papers with code

TKG-DM: Training-free Chroma Key Content Generation Diffusion Model

no code implementations23 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.

Edge-based Denoising Image Compression

no code implementations17 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.

Denoising Image Compression +1

Webcam-based Pupil Diameter Prediction Benefits from Upscaling

1 code implementation19 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.

Pupil Diameter Estimation Super-Resolution

EyeDentify: A Dataset for Pupil Diameter Estimation based on Webcam Images

1 code implementation15 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.

Pupil Diameter Estimation

Cannot find the paper you are looking for? You can Submit a new open access paper.