Hwan Heo
Hello, I'm
Exploring the frontiers of 3D Computer Vision & Machine Learning
About
Hi there, I'm Hwan Heo (허환). By day, I build 3D worlds with AI. By night, I'm probably lost in a sea of music or random STEM facts. You've stumbled upon my little corner of the internet. Glad to meet you here, I mean, literally.
AI Researcher
Specializing in 3D Computer Vision.
- Interest: 3D Vision & Graphics AI
- Degree: Master's in Computer Science
- E-mail: gjghks950@naver.com
- City: Sungnam, South Korea
I am an AI Researcher at NC AI, where I develop cutting-edge 3D AI technologies for game development. Currently, as a member of the Varco3D team, my primary focus is on training large-scale 3D generative models and integrating them into our services. I hold both a B.S. and M.S. in Computer Science from Korea University, where I was fortunate to be advised by Professor Hyunwoo J. Kim. Previously, I was a Research Intern at NAVER AI Lab, mentored by Dr. Jin-Hwa Kim.
Resume
Download CVSummary
Hwan Heo | 허환
AI Researcher specializing in 3D Computer Vision with 3+ years of experience in developing cutting-edge techniques for Neural Rendering and 3D Generation.
- AI Researcher at NC AI (NCSOFT)
- Research Personnel, Alternative Military Service
Education
Master of Computer Science & Engineering
2020 - 2022
MLV Lab, Korea University, Seoul
Studied advanced machine learning, computer vision, generalization and related areas, building a theoretical and practical foundation.
Bachelor of Computer Science & Engineering
2015 - 2020
Korea University, Seoul
Gained a comprehensive understanding of computer science principles and engineering fundamentals through a rigorous undergraduate program.
Experience
AI Researcher
2025 - Present
3D Generation, NC AI
Portfolio
Featured Publications & Projects
- All
- Research
- Application
- Personal
Publications
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CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation
Hwan Heo, Jangyeong Kim, Seongyeong Lee, Jeong-A Wi, Junyoung Choi, Sangjun Ahn
Technical Report, Featured on HuggingFace's Daily Papers, TLDR AI -
DreamSurfels: Generative Gaussian Surfels for Geometrically Accurate 3D Content Creation
Hwan Heo, Sangjun Ahn
The 15th International Conference on ICT Convergence (ICTC), Oct 2024
Oral presentation, domestic conference -
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
Hwan Heo, Taekyung Kim, J. Lee, Jiyoung Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim
The 40th International Conference on Machine Learning (ICML), Jul 2023 -
Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild
Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim
preprint, arXiv 2023 -
Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection
Jihwan Park, Seunjun Lee, Hwan Heo, Hyunggyu Choi, Hyunwoo J. Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2022 -
Domain Generalization Emerges from Dreaming
Hwan Heo, Younjin Oh, Jaewon Lee, Hyunwoo J. Kim
preprint, arXiv 2023 -
Temporally Sparse Adversarial Perturbations on Videos
Hwan Heo, Dohwan Ko, Jaewon Lee, Youngjoon Hong, Hyunwoo J. Kim
IEEE Access, Oct 2021 vol. 9, pp. 146938,
Internatrional journal publication
Invited Talks
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Radiance Fields and Spatial AI for Digital Twin
National Geographic Information Institute in Korea (국토지리정보원), Oct 2025
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Rasteriztion vs. Ray Tracing with 3D Gaussian Primitives
NCSOFT Research, Sep 2024
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Joint Optimization of Camera Pose and Accelerated Radiance Fields
Naver Cloud, Mar 2023
Blogs
Exploring 3D Computer Vision & Machine Learning, with a focus on Neural Rendering and 3D Generation.
