Search Results for author: Deok-Kyeong Jang

Found 3 papers, 1 papers with code

MOCHA: Real-Time Motion Characterization via Context Matching

no code implementations16 Oct 2023 Deok-Kyeong Jang, Yuting Ye, Jungdam Won, Sung-Hee Lee

Central to our framework is the Neural Context Matcher, which generates a motion feature for the target character with the most similar context to the input motion feature.

MOVIN: Real-time Motion Capture using a Single LiDAR

no code implementations17 Sep 2023 Deok-Kyeong Jang, Dongseok Yang, Deok-Yun Jang, Byeoli Choi, Taeil Jin, Sung-Hee Lee

In such applications, precise full-body tracking is essential for an immersive experience and a sense of embodiment with the virtual avatar.

Motion Puzzle: Arbitrary Motion Style Transfer by Body Part

1 code implementation10 Feb 2022 Deok-Kyeong Jang, Soomin Park, Sung-Hee Lee

The Motion Puzzle is the first that can control the motion style of individual body parts, allowing for local style editing and significantly increasing the range of stylized motions.

Motion Style Transfer Style Transfer

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