78 citations · 277 across the 9 of their papers we have counts for
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cs.GR2022★ 78 cited
Motion Puzzle: Arbitrary Motion Style Transfer by Body Part
Deok-Kyeong Jang, Soomin Park, Sung-Hee Lee
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 c…
cs.GR2021★ 60 cited
LoBSTr: Real-time Lower-body Pose Prediction from Sparse Upper-body Tracking Signals
Dongseok Yang, Doyeon Kim, Sung-Hee Lee
With the popularization of game and VR/AR devices, there is a growing need for capturing human motion with a sparse set of tracking data. In this paper, we introduce a deep neural-…
cs.GR2020★ 10 cited
Constructing Human Motion Manifold with Sequential Networks
Deok-Kyeong Jang, Sung-Hee Lee
This paper presents a novel recurrent neural network-based method to construct a latent motion manifold that can represent a wide range of human motions in a long sequence. We intr…