RESEARCH / ENGINEERING / INTERACTIONDong-Hyun Hwang

See the world.
Create what’s next.

I work at the intersection of computer vision, generative AI, and human–computer interaction. My research spans image and video generation, large-scale model training, and human motion understanding.

I received my Ph.D. from Tokyo Institute of Technology in 2022. Previously, I worked at NAVER and NAVER Cloud, and was a visiting scholar at Carnegie Mellon University.

Explore my background

Selected work

IDEAS INTO SYSTEMS

FOUNDATION MODELS · TECHNICAL BLOG

Sarashina Image 2.6B

A Japanese–English text-to-image foundation model with a diffusion transformer trained from scratch. Read the technical blog about the model and its development.

2025

ICCV · HIGHLIGHT

ZIM: Zero-Shot Image Matting for Anything

Fine-grained image matting with visual prompts, connecting zero-shot segmentation to precise masks.

2024

ECCV WORKSHOP · SYNTHETICDATA4CV

Synthetic data, closer to the real world

Diffusion-based synthetic dataset generation for egocentric 3D human pose estimation.

MonoEye research demonstration

UIST 2020 · HUMAN MOTION

MonoEye

Multimodal human motion capture using a single ultra-wide fisheye camera.

MoVNect 3D pose estimation demonstration

WACV 2020 · EFFICIENT VISION

MoVNect

Lightweight 3D human pose estimation through teacher–student learning.

All publications

Experience

Full CV ↗

JUL 2026 — PRESENT

Manager CURRENT

Noetra株式会社

AUG 2025 — PRESENT

Computer Vision Lead Research Engineer

SB Intuitions

Research and development of image-generation models.

JAN 2023 — JUN 2025

Research Engineer / Team Leader

NAVER Cloud

Generative AI and virtual human agents. Team Leader from May 2023.

FEB — DEC 2022

Research Engineer

NAVER

Human motion capture and generative motion research.

Research interests

Image & video generation / Large-scale model training / Human pose & motion / Human–computer interaction