Commercial AI Service
Selected Project
Application
VARCO 3D
Built the production 3D generation stack: 1B+ native models, CUDA inference optimization, mesh cleanup, UV unwrap, and texture back-projection.
Selected Projects
Production 3D AI systems · 4 papers · 6 invited talks
- Selected
- All
Commercial AI Service
Selected Project
Application
VARCO 3D
Built the production 3D generation stack: 1B+ native models, CUDA inference optimization, mesh cleanup, UV unwrap, and texture back-projection.
Featured on Hugging Face
Selected Project
Research
CaPa
Developed a two-stage model that carves geometry, then paints high-resolution textures.
Featured on GitHub (230+ stars)
Selected Project
Personal
Deep SfM for Radiance Fields
Compared VGGSfM and MASt3R for camera recovery in Gaussian Splatting and radiance fields.
Featured on GitHub (160+ stars)
Project Archive
Personal
2D GS Viewer
Built a browser viewer to inspect, edit, train, and export 2D Gaussian Splatting scenes.
ICML 2023
Project Archive
Research
Instant Pose
Co-developed fast pose refinement for hash-grid NeRF reconstruction, published at ICML 2023.
Project Archive
Application
Neural Rendering in Game Engine
Built a 360° capture-to-engine pipeline, optimizing neural rendering for Unity and Unreal.
Research Selected Papers
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CaPa: Carve-n-Paint Synthesis for Efficient 4K Textured Mesh Generation
Technical Report, Featured on Hugging Face Daily Papers, TLDR AI
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DreamSurfels: Generative Gaussian Surfels for Geometrically Accurate 3D Content Creation
The 15th International Conference on ICT Convergence (ICTC), Oct 2024
Oral presentation, domestic conference -
Robust Camera Pose Refinement for Multi-Resolution Hash Encoding
The 40th International Conference on Machine Learning (ICML), Jul 2023
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Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild
preprint, arXiv 2023
Speaking Invited Talks
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Introduction to 3D Generative AI (PDF)
Generative AI Seminar (CS.93000B) - KAIST
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Introduction to 3D Generative AI
Machine Learning for Computer Vision - KAIST
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Spatial 3D AI Technology and its Applications
K-GEO Festa - Ministry of Land, Infrastructure and Transport in Korea (국토교통부)
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Radiance Fields and Spatial 3D AI for Digital Twin
National Geographic Information Institute in Korea (국토지리정보원)
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Rasterization vs. Ray Tracing with 3D Gaussian Primitives
NCSOFT
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Joint Optimization of Camera Pose and Accelerated Radiance Fields
NAVER Cloud
Technical Blog
Technical notes on 3D AI, from theory to production:
generative models and large-scale training, neural rendering, graphics algorithms, and web-based 3D tools.
About
Hwan Heo
Lead 3D AI Research Engineer
NC AI · VARCO 3D
Hi, I'm Hwan Heo (허환). I work where generative models, systems, and graphics meet.
At NC AI, I lead research and engineering for the VARCO 3D team, developing production 3D AI systems across large-scale generative model training, inference optimization, and graphics algorithms. I hold both a B.S. and M.S. in Computer Science from Korea University, where I was advised by Professor Hyunwoo J. Kim. Previously, I was a Research Intern at NAVER AI Lab, mentored by Dr. Jin-Hwa Kim.
When I'm away from CUDA kernels and mesh pipelines, I'm usually playing guitar, making music, or following an unexpected STEM rabbit hole. This site is both a record of the systems I've helped ship and a notebook for the ideas I keep exploring.
Resume
Download CVSummary
Hwan Heo | 허환
AI Research Engineer building production 3D AI systems across generative models, neural rendering, and graphics.
- AI Research Engineer at NC AI
- Former Research Personnel · Alternative Military Service
Education
M.S. in Computer Science & Engineering
2020 - 2022
MLV Lab, Korea University, Seoul
B.S. in Computer Science & Engineering
2015 - 2020
Korea University, Seoul
Experience
AI Research Engineer
2025 - Present
3D Generation, NC AI
- Leading VARCO 3D R&D across generative model training, inference optimization, graphics algorithms, and deployment.
AI Researcher
2023 - 2025
Neural Rendering & 3D Generation, NCSOFT Research
- Developed 3D generation and neural rendering systems spanning latent diffusion, texture synthesis, Gaussian Splatting, and neural avatars.
AI Researcher, Intern
2022
Generation Research, NAVER AI Lab
- Researched pose optimization for neural rendering.