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S. Baik

4 papers hereh-index 213 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO1
same name
  • S. Baik — 6 papers, h 24
  • S. Baik — 3 papers, h 33
  • S. Baik — 3 papers, h 65
  • S. Baik — 2 papers, h 0
  • S. Baik — 1 paper, h 8
  • S. Baik — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.RO2026

ZeroDex: Zero-Shot Long-Horizon Dexterous Manipulation via Multi-View 3D-Grounded VLM Reasoning

Jisoo Kim, Sangwon Baik, Taeksoo Kim +4

We present ZeroDex, a zero-shot framework for long-horizon dexterous manipulation that grounds language instructions into executable 3D task plans from calibrated multi-view RGB im…

cs.CV2026

SimuScene: Simulation-Ready Compositional 3D Scene Reconstruction from a Single Image

Inhee Lee, Sangwon Baik, Sungjoo Kim +3

Reconstructing interactive, simulation-ready 3D scenes from a single image is a critical bottleneck for robotic manipulation. While recent single-image lifters recover plausible pe…

cs.CV2025

Learning 3D Object Spatial Relationships from Pre-trained 2D Diffusion Models

Sangwon Baik, Hyeonwoo Kim, Hanbyul Joo

We present a method for learning 3D spatial relationships between object pairs, referred to as object-object spatial relationships (OOR), by leveraging synthetically generated 3D s…

cs.CV2025

DAViD: Modeling Dynamic Affordance of 3D Objects Using Pre-trained Video Diffusion Models

Hyeonwoo Kim, Sangwon Baik, Hanbyul Joo

Modeling how humans interact with objects is crucial for AI to effectively assist or mimic human behaviors. Existing studies for learning such ability primarily focus on static hum…

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