Chaehyun Kim

M.S./Ph.D. Integrated Student · CVLAB, KAIST

Chaehyun Kim

I am an integrated M.S./Ph.D. student at KAIST CVLAB, advised by Prof. Seungryong Kim, and a research intern at NVIDIA Research Taiwan. Previously, I was a research intern at Naver Cloud.

My research interests lie at the intersection of computer vision and embodied agents, focusing on developing semantically and geometrically rich vision models to advance robot perception and world modeling.

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

kchyun@kaist.ac.kr Scholar GitHub LinkedIn

Experience

Publications

teaser DreamX: Video Diffusion Model is a Universal Latent Action Learner
Project page (coming soon) GitHub (coming soon) arXiv (coming soon)

DreamX: Video Diffusion Model is a Universal Latent Action Learner

Jisoo Kim*, Chaehyun Kim*, Junsu Kim, Jiho Park, Seongchan Kim, Eunbeen Hong, Soowon Son, Fu-En Yang, Seungryong Kim (*equal contribution)
TBU, 2026
teaser ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
Project page GitHub (coming soon) arXiv

ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning

Chaehyun Kim, Chi-Pin Huang, Jisoo Kim, Min-Hung Chen, Yu-Chiang Frank Wang, Seungryong Kim, Fu-En Yang
Arxiv, 2026
teaser FL4N: Feed-forward Latent Model for 4D Novel View Synthesis
Project page GitHub arXiv

FL4N: Feed-forward Latent Model for 4D Novel View Synthesis

Eunbeen Hong, Hyeonseo Yu, Honggyu An, Jooho Son, Hyunah Ko, Soowon Son, Chaehyun Kim, Jahyeok Koo, Jisoo Kim, Junhwa Hur, Seungryong Kim
Arxiv, 2026
teaser Repurposing Video Diffusion Transformers for Robust Point Tracking
Project page GitHub arXiv

Repurposing Video Diffusion Transformers for Robust Point Tracking

Soowon Son, Honggyu An, Chaehyun Kim, Hyunah Ko, Jisu Nam, Dahyun Chung, Siyoon Jin, Jung Yi, Jaewon Min, Junhwa Hur, Seungryong Kim
Arxiv, 2025
teaser C3G: Learning Compact 3D Representations with 2K Gaussians
Project page GitHub arXiv

C3G: Learning Compact 3D Representations with 2K Gaussians

Honggyu An, Jaewoo Jung, Mungyeom Kim, Sunghwan Hong, Chaehyun Kim, Kazumi Fukuda, Minkyeong Jeon, Jisang Han, Takuya Narihira, Hyuna Ko, Junsu Kim, Yuki Mitsufuji, Seungryong Kim
In Computer Vision and Pattern Recognition (CVPR), 2026
teaser Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers
Project page GitHub arXiv

Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers

Chaehyun Kim, Heeseong Shin, Eunbeen Hong, Heeji Yoon, Anurag Arnab, Paul Hongsuck Seo, Sunghwan Hong, Seungryong Kim
In Advances in Neural Information Processing System (NeurIPS), 2025
teaser Visual Representation Alignment for Multimodal Large Language Models
Project page GitHub arXiv

Visual Representation Alignment for Multimodal Large Language Models

Heeji Yoon, Jaewoo Jung, Junwan Kim, Hyungyu Choi, Heeseong Shin, Sangbeom Lim, Honggyu An, Chaehyun Kim, Jisang Han, Donghyun Kim, Chanho Eom, Sunghwan Hong, Seungryong Kim
In ICLR Workshop on Multimodal Intelligence, 2026
teaser D<sup>2</sup>USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes
Project page GitHub arXiv

D2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes

Jisang Han, Honggyu An, Jaewoo Jung, Takuya Narihira, Junyoung Seo, Kazumi Fukuda, Chaehyun Kim, Sunghwan Hong, Yuki Mitsufuji, and Seungryong Kim.
In Advances in Neural Information Processing Systems (NeurIPS), 2025
teaser Towards open-vocabulary semantic segmentation without semantic labels
Project page GitHub arXiv

Towards open-vocabulary semantic segmentation without semantic labels

Heeseong Shin, Chaehyun Kim, Sunghwan Hong, Seokju Cho, Anurag Arnab, Paul Hongsuck Seo, and Seungryong Kim.
In Advances in Neural Information Processing Systems (NeurIPS), 2024

Education

Academic Service

Honors & Awards