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Home/Authors/Seungryong Kim

Seungryong Kim

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Vision×3AI×1

Frequent co-authors

Jaeyeong Kim2×
Seokju Cho1×
Ryo Hachiuma1×
Abhishek Badki1×
Hang Su1×
Byung-Kwan Lee1×

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.

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

This paper proposes SpatialClaw, a training-free framework for spatial reasoning that enables open-ended, complex 3D/4D spatial reasoning.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIEmpiricalRecentJun 11, 2026

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

Seokju Cho, Ryo Hachiuma, Abhishek Badki, Hang Su +7 more

This paper proposes SpatialClaw, a training-free framework for spatial reasoning that enables open-ended, complex 3D/4D spatial reasoning.

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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.

View →
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…

View →