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Home/Authors/Jaeyeong Kim

Jaeyeong Kim

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Vision×2

Frequent co-authors

Seungryong Kim2×
Ines Kim1×
Jahyeok Koo1×
Minkyung Kwon1×
Jinhyeok Choi1×
Youngjin Shin1×

Research Timeline

2026
MORPHOS: Autoregressive 4D Generation with Temporal Structured Latents

MORPHOS is a novel autoregressive framework that generates dynamic 3D assets (like meshes and radiance fields) from videos by using a unified 4D representation to ensure temporal consistency and handle changing object topologies.

Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text

T2Mo is a novel framework that generates controllable dynamic 3D object shapes by combining explicit 3D trajectories for spatial guidance with natural language text semantics.

Highlighted terms show continued research focus across papers

Papers

cs.CVRecentJun 3, 2026

Controllable Dynamic 3D Shape Generation via 3D Trajectories and Text

Jaeyeong Kim, Ines Kim, Jahyeok Koo, Seungryong Kim

T2Mo is a novel framework that generates controllable dynamic 3D object shapes by combining explicit 3D trajectories for spatial guidance with natural language text semantics.

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cs.CVRecentJun 1, 2026

MORPHOS: Autoregressive 4D Generation with Temporal Structured Latents

Minkyung Kwon, Jinhyeok Choi, Youngjin Shin, Jaeyeong Kim +2 more

MORPHOS is a novel autoregressive framework that generates dynamic 3D assets (like meshes and radiance fields) from videos by using a unified 4D representation to ensure temporal consistency and handl…

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