Kinam Kim

Ph.D. Student · KAIST AI

I am a Ph.D. student at KAIST AI, advised by Prof. Jaegul Choo. I am currently a research intern at Microsoft Research Asia, and will join NVIDIA as a research intern in July 2026.

My research interests lie at the intersection of Vision-Language-Action (VLA) models and world models, focusing on turning generative video priors into controllable, real-world robot behavior. Lately I have been building coding agents for robotics that produce the dexterous manipulation data teleoperation and reinforcement learning struggle to provide.

If you have any questions or suggestions, please feel free to contact me via email (kinamplify@kaist.ac.kr)!

kinamplify@kaist.ac.kr Scholar GitHub CV

News

• Sep 2026 🎉 Object-Centric Residual RL accepted to CoRL 2026. New
• Feb 2026 🎉 EgoX accepted to CVPR 2026.
• Jan 2026 🎉 ACG accepted to ICRA 2026.
• Sep 2025 🎉 TIC-FT accepted to NeurIPS 2025.
• Feb 2025 🎉 STG accepted to CVPR 2025.

Experience

• 
  NVIDIA

  Research Intern

  2026.07 – Now
• 
  Microsoft Research Asia

  Research Intern

  2026.02 – 2026.07

Publications

Object-Centric Residual RL for Zero-Shot Sim-to-Real VLA Enhancement

Kinam Kim, Namiko Saito, Heecheol Kim, Katsushi Ikeuchi, Jaegul Choo, Yasuyuki Matsushita

CoRL 2026

Work done during an internship at Microsoft Research Asia

EgoX: Egocentric Video Generation from a Single Exocentric Video

Taewoong Kang*, Kinam Kim*, Dohyeon Kim*, Minho Park, Junha Hyung, Jaegul Choo (* equal contribution)

CVPR 2026

ACG: Action Coherence Guidance for Flow-based VLA Models

Minho Park*, Kinam Kim*, Junha Hyung, Hyojin Jang, Hoiyeong Jin, Jooyeol Yun, Hojoon Lee, Jaegul Choo (* equal contribution)

ICRA 2026

Temporal In-Context Fine-Tuning for Versatile Control of Video Diffusion Models

Kinam Kim*, Junha Hyung*, Jaegul Choo (* equal contribution)

NeurIPS 2025

Spatiotemporal Skip Guidance for Enhanced Video Diffusion Sampling

Junha Hyung*, Kinam Kim*, Susung Hong, Min-Jung Kim, Jaegul Choo (* equal contribution)

CVPR 2025

Cross-Frame Representation Alignment for Fine-Tuning Video Diffusion Models

Sungwon Hwang*, Hyojin Jang*, Kinam Kim, Minho Park, Jaegul Choo (* equal contribution)

arXiv 2025

Overcoming Camera-Facing Gaze Bias in EG3D Scene Generation

Kinam Kim, Juhyun Lee, Youngdo Lee

arXiv 2023

Education

• Ph.D. Student @ Korea Advanced Institute of Science & Technology (KAIST)
  • KAIST AI (Advisor: Prof. Jaegul Choo)
  • 2025.02 – Present
• B.S. at Korea Advanced Institute of Science & Technology (KAIST)
  • School of Computing
  • 2019.03 – 2024.02