Giljoo Nam
I am a Research Scientist at the Codec Avatars Lab at Meta, where we build the future of connection in augmented reality and virtual reality. I received my Ph.D. in Computer Science from KAIST in 2019 (supervisor: Prof. Min H. Kim). My research lies in the field of Computer Vision, Computer Graphics, and Machine Learning.
[email] giljoonam [at] meta.com / namgiljoo [at] gmail.com
[LinkedIn] [Google Scholar] [Twitter 𝕏]
PUBLICATIONS
2024
Relightable Gaussian Codec Avatars
Shunsuke Saito, Gabriel Schwartz, Tomas Simon, Junxuan Li, Giljoo Nam
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 (oral presentation)
InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion
Jihyun Lee, Shunsuke Saito, Giljoo Nam, Minhyuk Sung, Tae-Kyun (T-K) Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF (arXiv)] [Project Page] [Code]
Differentiable Display Photometric Stereo
Seokjun Choi, Seungwoo Yoon, Giljoo Nam, Seungyong Lee, Seung-Hwan Baek
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior
Wonseok Roh, Hwanhee Jung, Giljoo Nam, Jinseop Yeom, Hyunje Park, Sang Ho Yoon, Sangpil Kim
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
[PDF (arXiv)] [Project Page]
A Local Appearance Model for Volumetric Capture of Diverse Hairstyles
Ziyan Wang, Giljoo Nam, Aljaz Bozic, Chen Cao, Jason Saragih, Michael Zollhöfer, Jessica Hodgins
International Conference on 3D Vision (3DV), 2024 (oral presentation)
2023
CT2Hair: High-Fidelity 3D Hair Modeling using Computed Tomography
Yuefan Shen, Shunsuke Saito, Ziyan Wang, Olivier Maury, Chenglei Wu, Jessica Hodgins, Youyi Zheng, Giljoo Nam
ACM Transactions on Graphics, Vol.42(4) (ACM SIGGRAPH 2023)
[PDF (ACM DL)] [Video] [Code & Data] [Project Page]
Accelerating Hair Rendering by Learning High-Order Scattered Radiance
Aakash KT, Adrian Jarabo, Carlos Aliaga, Matt Jen-Yuan Chiang, Olivier Maury, Christophe Hery, P. J. Narayanan, Giljoo Nam
Computer Graphics Forum (CGF), Vol.42(4)
Eurographics Symposium on Rendering (EGSR), 2023
[PDF (EG DL)] [Video] [Code] [Project Page]
NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason Saragih, Michael Zollhöfer, Jessica Hodgins, Christoph Lassner
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[PDF (arXiv)] [Video] [Project Page]
Event Fusion Photometric Stereo Network
Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim
Elsevier Neural Networks, 2023
2022
Neural Strands: Learning Hair Geometry and Appearance from Multi-View Images
Radu Alexandru Rosu, Shunsuke Saito, Ziyan Wang, Chenglei Wu, Sven Behnke, Giljoo Nam
European Conference on Computer Vision (ECCV), 2022
[PDF (arXiv)] [Video] [Project Page]
HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture
Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica Hodgins, Christoph Lassner
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[PDF (arXiv)] [Video] [Project Page]
ORA3D: Overlap Region Aware Multi-view 3D Object Detection
Wonseok Roh, Gyusam Chang, Seokha Moon, Giljoo Nam, Chanyoung Kim, Younghyun Kim, Sangpil Kim, Jinkyu Kim
British Machine Vision Conference (BMVC), 2022
2021 and prior
Human Hair Inverse Rendering using Multi-View Photometric Data
Tiancheng Sun, Giljoo Nam, Carlos Aliaga, Christophe Hery, Ravi Ramamoorthi
Eurographics Symposium on Rendering (EGSR), 2021
Progressive Acquisition of SVBRDF and Shape in Motion
Hyunho Ha, Seung-Hwan Baek, Giljoo Nam, Min H. Kim
Computer Graphics Forum (CGF), 2020
[PDF] [Video] [Project Page]
Strand-accurate Multi-view Hair Capture
Giljoo Nam, Chenglei Wu, Min H. Kim, Yaser Sheikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019, (oral presentation)
Practical SVBRDF Acquisition of 3D Objects with Unstructured Flash Photography
Giljoo Nam, Joo Ho Lee, Diego Gutierrez, Min H. Kim
ACM Transactions on Graphics, (ACM SIGGRAPH Asia 2018)
[PDF] [Suppl.] [Project page] [Video] [Dataset]
ACM SIGGRAPH Asia 2018 Technical Papers Press Release [link]: GCN, EurekAlert, E&T Magazine, VR Soldier, SciTech, New Electronics, LabRoots, Digital Journal
High-Quality Hyperspectral Reconstruction Using a Spectral Prior
Inchang Choi, Daniel S. Jeon, Giljoo Nam, Diego Gutierrez, Min H. Kim
ACM Transactions on Graphics, Vol.36(6) (ACM SIGGRAPH Asia 2017)
[PDF] [Suppl.] [Project page] [Dataset] [Code]
Simultaneous Acquisition of Microscale Reflectance and Normals
Giljoo Nam, Joo Ho Lee, Hongzhi Wu, Diego Gutierrez, Min H. Kim
ACM Transactions on Graphics, Vol.35(6) (ACM SIGGRAPH Asia 2016)
[PDF] [Suppl. #1] [Suppl. #2] [Project page] [Video]
*US Patent registered on May 7, 2019.
Measuring Color Defects in Flat Panel Displays using HDR Imaging and Appearance Modeling
Giljoo Nam, Haebom Lee, Sungsoo Oh, Min H. Kim
IEEE Transactions on Instrumentation and Measurement (IEEE TIM), Feb. 2016, 65(2), pp.297–304
[PDF] [Project page]
Multispectral Photometric Stereo for Acquiring High-Fidelity Surface Normals
Giljoo Nam, Min H. Kim
IEEE Computer Graphics and Applications (IEEE CG&A), Nov. 2014, 34(6), pp.57–68
[PDF] [Project page]