Bochang Moon

According to our database, Bochang Moon authored at least 29 papers between 2010 and 2023.

Collaborative distances:

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

2023

Adaptively weighted discrete Laplacian for inverse rendering.

Hyeonjang An, Wonjun Lee, Bochang Moon

Vis. Comput., August, 2023

Input-Dependent Uncorrelated Weighting for Monte Carlo Denoising.

Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Enhanced Direct Lighting Using Visibility-Aware Light Sampling.

Geonu Noh, Hajin Choi, Bochang Moon

Proceedings of the Advances in Computer Graphics, 2023

Robust Image Denoising of No-Flash Images Guided by Consistent Flash Images.

Geunwoo Oh, Jonghee Back, Jae-Pil Heo, Bochang Moon

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Real-Time Denoising of Volumetric Path Tracing for Direct Volume Rendering.

José Antonio Iglesias Guitián, Prajita Mane, Bochang Moon

IEEE Trans. Vis. Comput. Graph., 2022

Neural James-Stein Combiner for Unbiased and Biased Renderings.

Jeongmin Gu, José Antonio Iglesias Guitián, Bochang Moon

ACM Trans. Graph., 2022

Projector Compensation Framework Using Differentiable Rendering.

Jino Park, Donghyuk Jung, Bochang Moon

IEEE Access, 2022

Online Illumination Learning for Interactive Global Illumination in Augmented Reality.

Wonjun Lee, Piljoong Jeong, Hajin Choi, Jinwoo Kim, Bochang Moon

IEEE Access, 2022

Self-Supervised Post-Correction for Monte Carlo Denoising.

Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon

Proceedings of the SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference, Vancouver, BC, Canada, August 7, 2022

2021

Consistent Post-Reconstruction for Progressive Photon Mapping.

Hajin Choi, Bochang Moon

Comput. Graph. Forum, 2021

Similar Patch Selection in Embedding Space for Multi-View Image Denoising.

Geunwoo Oh, Dong-Wan Choi, Bochang Moon

IEEE Access, 2021

2020

Deep combiner for independent and correlated pixel estimates.

Jonghee Back, Binh-Son Hua, Toshiya Hachisuka, Bochang Moon

ACM Trans. Graph., 2020

Adaptive Kernel Inference for Dense and Sharp Occupancy Grids.

Youngsun Kwon, Bochang Moon, Sung-Eui Yoon

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Gradient Outlier Removal for Gradient-Domain Path Tracing.

Saerom Ha, Sojin Oh, Jonghee Back, Sung-Eui Yoon, Bochang Moon

Comput. Graph. Forum, 2019

2018

Feature Generation for Adaptive Gradient-Domain Path Tracing.

Jonghee Back, Sung-Eui Yoon, Bochang Moon

Comput. Graph. Forum, 2018

2017

Noise Reduction on G-Buffers for Monte Carlo Filtering.

Bochang Moon, José Antonio Iglesias Guitián, Steven McDonagh, Kenny Mitchell

Comput. Graph. Forum, 2017

2016

Adaptive polynomial rendering.

Bochang Moon, Steven McDonagh, Kenny Mitchell, Markus H. Gross

ACM Trans. Graph., 2016

Pixel History Linear Models for Real-Time Temporal Filtering.

José Antonio Iglesias Guitián, Bochang Moon, Charalampos Koniaris, Eric Smolikowski, Kenny Mitchell

Comput. Graph. Forum, 2016

Nonlinearly Weighted First-order Regression for Denoising Monte Carlo Renderings.

Benedikt Bitterli, Fabrice Rousselle, Bochang Moon, José Antonio Iglesias Guitián, David Adler, Kenny Mitchell, Wojciech Jarosz, Jan Novák

Comput. Graph. Forum, 2016

IRIDiuM: immersive rendered interactive deep media.

Babis Koniaris, Iván Huerta, Maggie Kosek, Karen Darragh, Charles Malleson, Joanna Jamrozy, Nicholas T. Swafford, José Antonio Iglesias Guitián, Bochang Moon, Ali Israr, Kenny Mitchell

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

User, metric, and computational evaluation of foveated rendering methods.

Nicholas T. Swafford, José Antonio Iglesias Guitián, Charalampos Koniaris, Bochang Moon, Darren Cosker, Kenny Mitchell

Proceedings of the ACM Symposium on Applied Perception, 2016

2015

Adaptive rendering with linear predictions.

Bochang Moon, José Antonio Iglesias Guitián, Sung-Eui Yoon, Kenny Mitchell

ACM Trans. Graph., 2015

Recent Advances in Adaptive Sampling and Reconstruction for Monte Carlo Rendering.

Matthias Zwicker, Wojciech Jarosz, Jaakko Lehtinen, Bochang Moon, Ravi Ramamoorthi, Fabrice Rousselle, Pradeep Sen, Cyril Soler, Sung-Eui Yoon

Comput. Graph. Forum, 2015

2014

Adaptive Rendering Based on Weighted Local Regression.

Bochang Moon, Nathan Carr, Sung-Eui Yoon

ACM Trans. Graph., 2014

2013

Robust Image Denoising Using a Virtual Flash Image for Monte Carlo Ray Tracing.

Bochang Moon, Jong Yun Jun, JongHyeob Lee, Kunho Kim, Toshiya Hachisuka, Sung-Eui Yoon

Comput. Graph. Forum, 2013

P-RPF: Pixel-Based Random Parameter Filtering for Monte Carlo Rendering.

Hyosub Park, Bochang Moon, Soomin Kim, Sung-Eui Yoon

Proceedings of the 2013 International Conference on Computer-Aided Design and Computer Graphics, 2013

2010

RACBVHs: Random-Accessible Compressed Bounding Volume Hierarchies.

Tae-Joon Kim, Bochang Moon, Duksu Kim, Sung-Eui Yoon

IEEE Trans. Vis. Comput. Graph., 2010

Cache-oblivious ray reordering.

Bochang Moon, Yongyoung Byun, Tae-Joon Kim, Pio Claudio, Hye-Sun Kim, Yun-Ji Ban, Seung Woo Nam, Sung-Eui Yoon

ACM Trans. Graph., 2010

HCCMeshes: Hierarchical-Culling oriented Compact Meshes.

Tae-Joon Kim, Yongyoung Byun, Yongjin Kim, Bochang Moon, Seungyong Lee, Sung-Eui Yoon

Comput. Graph. Forum, 2010