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.

Selected Projects

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

  • Selected
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VARCO 3D service teaser
Production R&D VARCO 3D Led the production 3D generation stack—from 1B+ native models and CUDA inference to mesh processing, UV unwrapping, and texture delivery. 3D GenerationCUDA NC AI / 2025–Present 30K+ users · 300K+ assets generated
CaPa teaser
Research CaPa Designed Spatially Decoupled Attention to solve the Janus problem, enabling the first 4K-texture image-to-3D system and leading to VARCO 3D. DiffusionTextured Mesh NCSOFT / 2024 Featured on Hugging Face Daily Papers
Hash-grid gradient and trilinear interpolation diagrams
Research Instant Pose for Hash-Grid NeRFs Identified unstable hash-grid coordinate gradients and designed a smooth backward interpolation path for fast camera-pose refinement, published at ICML 2023. NeRFCamera Pose NAVER AI Lab / 2022–2023 ICML 2023
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

  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

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

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

    preprint, arXiv 2023

Speaking Invited Talks 6 talks
  • Introduction to 3D Generative AI

    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

Essays and technical notes on building 3D generative systems:
from representations and model training to CUDA kernels, geometry processing, and production engineering.

Selected Notes
Hwan Heo · 3D AI