Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Kondo, Naruya"'
This study introduces a novel approach to generate dance motions using onomatopoeia as input, with the aim of enhancing creativity and diversity in dance generation. Unlike text and music, onomatopoeia conveys rhythm and meaning through abstract word
Externí odkaz:
http://arxiv.org/abs/2306.03646
In this paper, we propose a novel approach to establish a connection between linguistic objects and classes in Large Language Model Machines (LLMMs) such as GPT3.5 and GPT4, and their counterparts in high level programming languages like Python. Our
Externí odkaz:
http://arxiv.org/abs/2304.04498
Autor:
Kondo, Naruya, Kuroki, So, Hyakuta, Ryosuke, Matsuo, Yutaka, Gu, Shixiang Shane, Ochiai, Yoichi
An aspirational goal for virtual reality (VR) is to bring in a rich diversity of real world objects losslessly. Existing VR applications often convert objects into explicit 3D models with meshes or point clouds, which allow fast interactive rendering
Externí odkaz:
http://arxiv.org/abs/2208.08861
Autor:
Kondo, Naruya, Ikeda, Yuya, Tagliasacchi, Andrea, Matsuo, Yutaka, Ochiai, Yoichi, Gu, Shixiang Shane
Neural Radiance Field (NeRF) is a popular method in data-driven 3D reconstruction. Given its simplicity and high quality rendering, many NeRF applications are being developed. However, NeRF's big limitation is its slow speed. Many attempts are made t
Externí odkaz:
http://arxiv.org/abs/2111.13112
The four-volume set CCIS 1580, CCIS 1581, CCIS 1582, and CCIS 1583 contains the extended abstracts of the posters presented during the 24th International Conference on Human-Computer Interaction, HCII 2022, which was held virtually in June - July 202