Fujun Luan

I am a research scientist at Adobe Research. I completed my Ph.D. from Cornell University in 2021, where I worked with Prof. Kavita Bala. Before that, I received my bachelor degree at Tsinghua University in 2015.

My research interests are at the intersection of computer graphics, 3D vision and machine learning, covering physical rendering, neural rendering, 3D reconstruction, 3D generation, relighting, and 3D-aware image/video editing with diffusion models.

Publications

RGB↔X: Image Decomposition and Synthesis using Material- and Lighting-Aware Diffusion Model
Zheng Zeng, Valentin Deschaintre, Iliyan Georgiev, Yannick Hold-Geoffroy, Yiwei Hu, Fujun Luan, Ling-Qi Yan, Miloš Hašan

SIGGRAPH 2024 [ Project ] [ Paper ] [ arXiv ]
Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling
Liwen Wu, Sai Bi, Zexiang Xu, Fujun Luan, Kai Zhang, Iliyan Georgiev, Kalyan Sunkavalli, Ravi Ramamoorthi

CVPR 2024 (highlight) [ Project ] [ Paper ] [ arXiv ]
Relightable Neural Assets
Krishna Mullia, Fujun Luan, Xin Sun, Miloš Hašan

ArXiv preprint [ Project ] [ arXiv ]
DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model
Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu*, Kai Zhang*

ICLR 2024 (spotlight) [ Project ] [ arXiv ]
Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model
Jiahao Li, Hao Tan, Kai Zhang, Zexiang Xu, Fujun Luan, Yinghao Xu, Yicong Hong, Kalyan Sunkavalli, Greg Shakhnarovich, Sai Bi

ICLR 2024 [ Project ] [ arXiv ]
PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction
Peng Wang, Hao Tan, Sai Bi, Yinghao Xu, Fujun Luan, Kalyan Sunkavalli, Wenping Wang, Zexiang Xu, Kai Zhang

ICLR 2024 (spotlight) [ Project ] [ arXiv ]
PSDR-Room: Single Photo to Scene using Differentiable Rendering
Kai Yan, Fujun Luan, Miloš Hašan, Thibault Groueix, Valentin Deschaintre, Shuang Zhao

SIGGRAPH Asia 2023 [ Project ] [ Paper ]
Extended Path Space Manifolds for Physically Based Differentiable Rendering
Jiankai Xing, Xuejun Hu, Fujun Luan, Ling-Qi Yan, Kun Xu

SIGGRAPH Asia 2023 [ Paper ] [ Video ]
MCNeRF: Monte Carlo Rendering and Denoising for Real-Time NeRFs
Kunal Gupta, Miloš Hašan, Zexiang Xu, Fujun Luan, Kalyan Sunkavalli, Xin Sun, Manmohan Chandraker, Sai Bi

SIGGRAPH Asia 2023 [ Project ]
NeuSample: Importance Sampling for Neural Materials
Bing Xu, Liwen Wu, Miloš Hašan, Fujun Luan, Iliyan Georgiev, Zexiang Xu, Ravi Ramamoorthi

SIGGRAPH 2023 [ Project ] [ Paper ]
PaletteNeRF: Palette-based Appearance Editing of Neural Radiance Fields
Zhengfei Kuang, Fujun Luan, Sai Bi, Zhixin Shu, Gordon Wetzstein, Kalyan Sunkavalli

CVPR 2023 [ Project ] [ Paper ]
I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
Jingsen Zhu, Yuchi Huo, Qi Ye, Fujun Luan, Jifan Li, Dianbing Xi, Lisha Wang, Rui Tang, Wei Hua, Hujun Bao, Rui Wang

CVPR 2023 [ Project ] [ Paper ]
Differentiable Rendering using RGBXY Derivatives and Optimal Transport
Jiankai Xing, Fujun Luan, Ling-Qi Yan, Xuejun Hu, Houde Qian, Kun Xu

SIGGRAPH Asia 2022 [ Project ] [ Paper ] [ Supplementary ] [ Code ]
Learning-based Inverse Rendering of Complex Indoor Scenes with Differentiable Monte Carlo Raytracing
Jingsen Zhu, Fujun Luan, Yuchi Huo, Zihao Lin, Zhihua Zhong, Dianbing Xi, Jiaxiang Zheng, Rui Tang, Hujun Bao, Rui Wang

SIGGRAPH Asia 2022 [ Project ] [ Paper ] [ Supplementary ] [ Dataset ]
Differentiable Rendering of Neural SDFs through Reparameterization
Sai Praveen Bangaru, Michaël Gharbi, Tzu-Mao Li, Fujun Luan, Kalyan Sunkavalli, Miloš Hašan, Sai Bi, Zexiang Xu, Gilbert Bernstein, Frédo Durand

SIGGRAPH Asia 2022 [ Project ] [ Paper ]
ARF: Artistic Radiance Fields
Kai Zhang, Nick Kolkin, Sai Bi, Fujun Luan, Zexiang Xu, Eli Shechtman, Noah Snavely

ECCV 2022 [ Project ] [ Paper ]
This work was demoed at Adobe MAX Sneaks 2022 as Artistic Scenes.
Reconstructing Translucent Objects using Differentiable Rendering
Xi Deng, Fujun Luan, Bruce Walter, Kavita Bala, Steve Marschner

SIGGRAPH 2022 [ Project ] [ Paper ] [ Supplementary ]
Rendering Neural Materials on Curved Surfaces
Alexandr Kuznetsov, Xuezheng Wang, Krishna Mullia, Fujun Luan, Zexiang Xu, Miloš Hašan, Ravi Ramamoorthi

SIGGRAPH 2022 [ Project ] [ Paper ]
IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images
Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely

CVPR 2022 (oral) [ Project ] [ Paper ] [ Video ] [ Supplementary ] [ arXiv ]
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
Fujun Luan, Shuang Zhao, Kavita Bala, Zhao Dong

EGSR 2021 [ Project ] [ Paper ] [ Video ] [ Supplementary ] [ arXiv ]
PhySG: Inverse Rendering with Spherical Gaussians for Physics-based Material Editing and Relighting
Kai Zhang*, Fujun Luan*, Qianqian Wang, Kavita Bala, Noah Snavely (* equal contribution)

CVPR 2021 [ Project ] [ Paper ] [ Video ] [ Poster ] [ Code & Data ]
Langevin Monte Carlo Rendering with Gradient-based Adaptation
Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas

SIGGRAPH 2020 [ Project ] [ Paper ] [ Supplementary ] [ Interactive Test Suite ] [ Code & Data ]
Towards Learning-based Inverse Subsurface Scattering
Chengqian Che, Fujun Luan, Shuang Zhao, Kavita Bala, Ioannis Gkioulekas

ICCP 2020 [ Project ] [ Paper ] [ Video ] [ Supplementary ] [ Code & Data ]
Deep Painterly Harmonization
Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala

EGSR 2018 [ Paper ] [ Video ] [ arXiv ] [ GitHub (6.1k stars) ]
Press coverage: Vice, IFLScience, Filo.news, slashCAM, 雷锋网, Onedio, 이웃집과학자, N+1, 量子位, Two Minute Papers.
Fiber-Level On-the-Fly Procedural Textiles
Fujun Luan, Shuang Zhao, Kavita Bala

EGSR 2017 [ Project ] [ Paper ] [ Video ] [ Slides ] [ 4K Rendering ]
Deep Photo Style Transfer
Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala

CVPR 2017 [ Project ] [ Paper ] [ Supplementary ] [ arXiv ] [ GitHub (9.9k stars) ] [ Poster ]
Press coverage: The Verge, PetaPixel, DPreview, SlashGear, AppleInsider, Digital Trends, BGR, Lifeboat, Engadget, New Atlas, TNW, TechSpot, Ubergizmo, Softpedia, Cornell Chronicle, ExtremeTech, Phys.org, Two Minute Papers.
Fitting Procedural Yarn Models for Realistic Cloth Rendering
Shuang Zhao, Fujun Luan, Kavita Bala

SIGGRAPH 2016 [ Project ] [ Paper ] [ Video ] [ Slides ] [ Code & Data ]
This work was patented as U.S. Patent No. 10,410,380.
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