Zobrazeno 1 - 10
of 821
pro vyhledávání: '"Lee Sung Hee"'
Autor:
Jang, Deok-Kyeong, Yang, Dongseok, Jang, Deok-Yun, Choi, Byeoli, Shin, Donghoon, Lee, Sung-hee
This paper introduces ELMO, a real-time upsampling motion capture framework designed for a single LiDAR sensor. Modeled as a conditional autoregressive transformer-based upsampling motion generator, ELMO achieves 60 fps motion capture from a 20 fps L
Externí odkaz:
http://arxiv.org/abs/2410.06963
Full-body avatar presence is crucial for immersive social and environmental interactions in digital reality. However, current devices only provide three six degrees of freedom (DOF) poses from the headset and two controllers (i.e. three-point tracker
Externí odkaz:
http://arxiv.org/abs/2402.09211
This paper presents a novel method for reconstructing 3D garment models from a single image of a posed user. Previous studies that have primarily focused on accurately reconstructing garment geometries to match the input garment image may often resul
Externí odkaz:
http://arxiv.org/abs/2312.16264
Autor:
Kwon, Hyun-Song, Lee, Sung-Hee
Realistic reconstruction of 3D clothing from an image has wide applications, such as avatar creation and virtual try-on. This paper presents a novel framework that reconstructs the texture map for 3D garments from a single image with pose. Assuming t
Externí odkaz:
http://arxiv.org/abs/2310.15447
Transforming neutral, characterless input motions to embody the distinct style of a notable character in real time is highly compelling for character animation. This paper introduces MOCHA, a novel online motion characterization framework that transf
Externí odkaz:
http://arxiv.org/abs/2310.10079
Publikováno v:
Computer Graphics Forum 2023, presented at Pacific Graphics 2023
Recent advancements in technology have brought forth new forms of interactive applications, such as the social metaverse, where end users interact with each other through their virtual avatars. In such applications, precise full-body tracking is esse
Externí odkaz:
http://arxiv.org/abs/2309.09314
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 2024
Rapid advances in technology gradually realize immersive mixed-reality (MR) telepresence between distant spaces. This paper presents a novel visual guidance system for avatar-mediated telepresence, directing users to optimal placements that facilitat
Externí odkaz:
http://arxiv.org/abs/2206.09542
Publikováno v:
ACM Transactions on Graphics 2022, presented at ACM SIGGRAPH 2022
This paper presents Motion Puzzle, a novel motion style transfer network that advances the state-of-the-art in several important respects. The Motion Puzzle is the first that can control the motion style of individual body parts, allowing for local s
Externí odkaz:
http://arxiv.org/abs/2202.05274