Giljoo Nam

According to our database, Giljoo Nam authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

InterHandGen: Two-Hand Interaction Generation via Cascaded Reverse Diffusion.

Jihyun Lee, Shunsuke Saito, Giljoo Nam, Minhyuk Sung, Tae-Kyun Kim

CoRR, 2024

2023

Event fusion photometric stereo network.

Wonjeong Ryoo, Giljoo Nam, Jae-Sang Hyun, Sangpil Kim

Neural Networks, October, 2023

CT2Hair: High-Fidelity 3D Hair Modeling using Computed Tomography.

Yuefan Shen, Shunsuke Saito, Ziyan Wang, Olivier Maury, Chenglei Wu, Jessica K. Hodgins, Youyi Zheng, Giljoo Nam

ACM Trans. Graph., August, 2023

Accelerating Hair Rendering by Learning High-Order Scattered Radiance.

Aakash KT, Adrián Jarabo, Carlos Aliaga, Matt Jen-Yuan Chiang, Olivier Maury, Christophe Hery, P. J. Narayanan, Giljoo Nam

Comput. Graph. Forum, July, 2023

A Local Appearance Model for Volumetric Capture of Diverse Hairstyle.

Ziyan Wang, Giljoo Nam, Aljaz Bozic, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins

CoRR, 2023

Relightable Gaussian Codec Avatars.

Shunsuke Saito, Gabriel Schwartz, Tomas Simon, Junxuan Li, Giljoo Nam

CoRR, 2023

Differentiable Display Photometric Stereo.

Seokjun Choi, Seungwoo Yoon, Giljoo Nam, Seungyong Lee, Seung-Hwan Baek

CoRR, 2023

NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation.

Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Chen Cao, Jason M. Saragih, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Computer Vision - ECCV 2022, 2022

HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture.

Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Human Hair Inverse Rendering using Multi-View Photometric data.

Tiancheng Sun, Giljoo Nam, Carlos Aliaga, Christophe Hery, Ravi Ramamoorthi

Proceedings of the 32nd Eurographics Symposium on Rendering, 2021

2020

Progressive Acquisition of SVBRDF and Shape in Motion.

Hyunho Ha, Seung-Hwan Baek, Giljoo Nam, Min H. Kim

Comput. Graph. Forum, 2020

2019

Strand-Accurate Multi-View Hair Capture.

Giljoo Nam, Chenglei Wu, Min H. Kim, Yaser Sheikh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Practical SVBRDF acquisition of 3D objects with unstructured flash photography.

Giljoo Nam, Joo Ho Lee, Diego Gutierrez, Min H. Kim

ACM Trans. Graph., 2018

2017

High-quality hyperspectral reconstruction using a spectral prior.

Inchang Choi, Daniel S. Jeon, Giljoo Nam, Diego Gutierrez, Min H. Kim

ACM Trans. Graph., 2017

2016

Simultaneous acquisition of microscale reflectance and normals.

Giljoo Nam, Joo Ho Lee, Hongzhi Wu, Diego Gutierrez, Min H. Kim

ACM Trans. Graph., 2016

Measuring Color Defects in Flat Panel Displays Using HDR Imaging and Appearance Modeling.

Giljoo Nam, Haebom Lee, Sungsoo Oh, Min H. Kim

IEEE Trans. Instrum. Meas., 2016

2014

Multispectral Photometric Stereo for Acquiring High-Fidelity Surface Normals.

Giljoo Nam, Min H. Kim

IEEE Computer Graphics and Applications, 2014