4 papers · 1 filter
Few-Part-Shot Font Generation
Masaki Akiba, Shumpei Takezaki, Daichi Haraguchi +1
This paper proposes a novel model of few-part-shot font generation, which designs an entire font based on a set of partial design elements, i.e., partial shapes. Unlike conventiona…
NoiseCutMix: A Novel Data Augmentation Approach by Mixing Estimated Noise in Diffusion Models
Shumpei Takezaki, Ryoma Bise, Shinnosuke Matsuo
In this study, we propose a novel data augmentation method that introduces the concept of CutMix into the generation process of diffusion models, thereby exploiting both the abilit…
Inverse Scene Text Removal
Takumi Yoshimatsu, Shumpei Takezaki, Seiichi Uchida
Scene text removal (STR) aims to erase textual elements from images. It was originally intended for removing privacy-sensitiveor undesired texts from natural scene images, but is n…
Guidance-base Diffusion Models for Improving Photoacoustic Image Quality
Tatsuhiro Eguchi, Shumpei Takezaki, Mihoko Shimano +2
Photoacoustic(PA) imaging is a non-destructive and non-invasive technology for visualizing minute blood vessel structures in the body using ultrasonic sensors. In PA imaging, the i…