Kinam Kim

Ph.D. Student · KAIST AI

Kinam Kim

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 video diffusion models, focusing on turning generative video priors into controllable, real-world robot behavior.

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

Experience

Publications

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

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

Kinam Kim, Namiko Saito, Heecheol Kim, Katsushi Ikeuchi, Jaegul Choo, Yasuyuki Matsushita
arXiv 2026
teaser: EgoX

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
teaser: ACG

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
teaser: CREPA

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

Sungwon Hwang*, Hyojin Jang*, Kinam Kim, Minho Park, Jaegul Choo (* equal contribution)
arXiv 2025
teaser: Overcoming Camera-Facing Gaze Bias in EG3D Scene Generation

Overcoming Camera-Facing Gaze Bias in EG3D Scene Generation

Kinam Kim, Juhyun Lee, Youngdo Lee
arXiv 2023

Education