- Contribution
- Trained and accelerated geometry models for production; built CUDA kernels for remeshing, UV unwrapping, and rasterization-based multi-view-to-texture baking.
Hwan Heo
Lead 3D AI Research Engineer
NC AI · VARCO 3D
Building production-scale 3D generative systems across native representations, large-model training, scalable inference, and graphics algorithms.
Projects
Production 3D AI systems · 4 papers · 6 invited talks
Project Index
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
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
Essays and technical notes on building 3D generative systems:
from representations and model training to CUDA kernels, geometry processing, and production engineering.
About
Hello, I’m Hwan Heo. I work where generative models, systems, and graphics meet.
Hwan Heo
At NC AI, I lead research and engineering for the VARCO 3D, developing production 3D AI systems across large-scale generative model training, inference optimization, and graphics algorithms.
When I'm away from CUDA kernels and mesh pipelines, I'm usually playing guitar, making music, or following an unexpected STEM rabbit hole.
Career Experience & Education
Experience
Lead 3D AI Research Engineer
- Leading VARCO 3D R&D across generative model training, inference optimization, graphics algorithms, and deployment.
AI Researcher
- Developed 3D generation and neural rendering systems spanning latent diffusion, Gaussian Splatting, and NeRF avatars.
Research Intern
- Researched pose optimization for neural rendering.
- Mentored by Dr. Jin-Hwa Kim.
Education
M.S. in Computer Science & Engineering
- Advised by Professor Hyunwoo J. Kim.