Hwan Heo

Lead 3D AI Research Engineer

Building production-scale 3D generative systems from native representations and large-model training to CUDA inference and graphics pipelines.

Project Blog About

Selected Projects

Production 3D AI systems · 4 papers · 6 invited talks

  • Selected
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Research Selected Papers 4 publications

  1. 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 Hugging Face Daily Papers, TLDR AI

    paper project github

  2. 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

  3. 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

    paper project

  4. Semantic-aware Occlusion Filtering Neural Radiance Fields in the Wild

    Jaewon Lee, Injae Kim, Hwan Heo, Hyunwoo J. Kim

    preprint, arXiv 2023

    paper project github
Speaking Invited Talks 6 talks

  • Introduction to 3D Generative AI (PDF)

    Generative AI Seminar (CS.93000B) - KAIST

  • Introduction to 3D Generative AI

    Machine Learning for Computer Vision - KAIST

  • Spatial 3D AI Technology and its Applications

    K-GEO Festa - Ministry of Land, Infrastructure and Transport in Korea (국토교통부)

  • Radiance Fields and Spatial 3D AI for Digital Twin

    National Geographic Information Institute in Korea (국토지리정보원)

  • Rasterization vs. Ray Tracing with 3D Gaussian Primitives

    NCSOFT

  • 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.

Selected Notes

About

Portrait of Hwan Heo

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.

When I'm away from CUDA kernels and mesh pipelines, I'm usually playing guitar, making music, or following an unexpected STEM rabbit hole.

Resume

Download CV

Summary

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.
Hwan Heo · 3D AI