154 citations · 199 across the 2 of their papers we have counts for
3 papers
cs.CV2025
DACoN: DINO for Anime Paint Bucket Colorization with Any Number of Reference Images
Kazuma Nagata, Naoshi Kaneko
Automatic colorization of line drawings has been widely studied to reduce the labor cost of hand-drawn anime production. Deep learning approaches, including image/video generation…
cs.CV2020★ 45 cited
Moving fast and slow: Analysis of representations and post-processing in speech-driven automatic gesture generation
Taras Kucherenko, Dai Hasegawa, Naoshi Kaneko +2
This paper presents a novel framework for speech-driven gesture production, applicable to virtual agents to enhance human-computer interaction. Specifically, we extend recent deep-…
cs.HC2019★ 154 cited
Analyzing Input and Output Representations for Speech-Driven Gesture Generation
Taras Kucherenko, Dai Hasegawa, Gustav Eje Henter +2
This paper presents a novel framework for automatic speech-driven gesture generation, applicable to human-agent interaction including both virtual agents and robots. Specifically,…