Straipsniai su viešo pasiekiamumo įpareigojimais - Fujun LuanSužinokite daugiau
Niekur nepasiekiama: 1
Fiber‐level on‐the‐fly procedural textiles
F Luan, S Zhao, K Bala
Computer Graphics Forum 36 (4), 123-135, 2017
Įpareigojimai: US National Science Foundation
Kur nors pasiekiama: 19
Deep photo style transfer
F Luan, S Paris, E Shechtman, K Bala
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Įpareigojimai: US National Science Foundation
Physg: Inverse rendering with spherical gaussians for physics-based material editing and relighting
K Zhang, F Luan, Q Wang, K Bala, N Snavely
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Įpareigojimai: US National Science Foundation
Iron: Inverse rendering by optimizing neural sdfs and materials from photometric images
K Zhang, F Luan, Z Li, N Snavely
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
Įpareigojimai: US National Science Foundation
Unified Shape and SVBRDF Recovery using Differentiable Monte Carlo Rendering
F Luan, S Zhao, K Bala, Z Dong
Computer Graphics Forum 40 (4), 101-113, 2021
Įpareigojimai: US National Science Foundation
Fitting procedural yarn models for realistic cloth rendering
S Zhao, F Luan, K Bala
ACM Transactions on Graphics (TOG) 35 (4), 1-11, 2016
Įpareigojimai: US National Science Foundation
Deep painterly harmonization
F Luan, S Paris, E Shechtman, K Bala
Computer graphics forum 37 (4), 95-106, 2018
Įpareigojimai: US National Science Foundation
Palettenerf: Palette-based appearance editing of neural radiance fields
Z Kuang, F Luan, S Bi, Z Shu, G Wetzstein, K Sunkavalli
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Įpareigojimai: US Department of Defense
Towards learning-based inverse subsurface scattering
C Che, F Luan, S Zhao, K Bala, I Gkioulekas
2020 IEEE International Conference on Computational Photography (ICCP), 1-12, 2020
Įpareigojimai: US National Science Foundation
Differentiable rendering of neural sdfs through reparameterization
SP Bangaru, M Gharbi, F Luan, TM Li, K Sunkavalli, M Hasan, S Bi, Z Xu, ...
SIGGRAPH Asia 2022 Conference Papers, 1-9, 2022
Įpareigojimai: US National Science Foundation
I2-sdf: Intrinsic indoor scene reconstruction and editing via raytracing in neural sdfs
J Zhu, Y Huo, Q Ye, F Luan, J Li, D Xi, L Wang, R Tang, W Hua, H Bao, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023
Įpareigojimai: National Natural Science Foundation of China
Reconstructing translucent objects using differentiable rendering
X Deng, F Luan, B Walter, K Bala, S Marschner
ACM SIGGRAPH 2022 Conference Proceedings, 1-10, 2022
Įpareigojimai: US National Science Foundation
Rendering neural materials on curved surfaces
A Kuznetsov, X Wang, K Mullia, F Luan, Z Xu, M Hasan, R Ramamoorthi
ACM SIGGRAPH 2022 conference proceedings, 1-9, 2022
Įpareigojimai: US National Science Foundation, US Department of Defense
Langevin Monte Carlo Rendering with Gradient-based Adaptation
F Luan, S Zhao, K Bala, I Gkioulekas
ACM Transactions on Graphics (TOG) 39 (4), 1-14, 2020
Įpareigojimai: US National Science Foundation
Differentiable rendering using rgbxy derivatives and optimal transport
J Xing, F Luan, LQ Yan, X Hu, H Qian, K Xu
ACM Transactions on Graphics (TOG) 41 (6), 1-13, 2022
Įpareigojimai: National Natural Science Foundation of China
Learning-based inverse rendering of complex indoor scenes with differentiable Monte Carlo raytracing
J Zhu, F Luan, Y Huo, Z Lin, Z Zhong, D Xi, R Wang, H Bao, J Zheng, ...
SIGGRAPH Asia 2022 Conference Papers, 1-8, 2022
Įpareigojimai: National Natural Science Foundation of China
NeuSample: Importance sampling for neural materials
B Xu, L Wu, M Hasan, F Luan, I Georgiev, Z Xu, R Ramamoorthi
ACM SIGGRAPH 2023 Conference Proceedings, 1-10, 2023
Įpareigojimai: US National Science Foundation
Psdr-room: Single photo to scene using differentiable rendering
K Yan, F Luan, M Hašan, T Groueix, V Deschaintre, S Zhao
SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023
Įpareigojimai: US National Science Foundation
Extended Path Space Manifolds for Physically Based Differentiable Rendering
J Xing, X Hu, F Luan, LQ Yan, K Xu
SIGGRAPH Asia 2023 Conference Papers, 1-11, 2023
Įpareigojimai: National Natural Science Foundation of China
Anisotropic density estimation for photon mapping
FJ Luan, LF Wu, K Xu
Computational Visual Media 1, 221-228, 2015
Įpareigojimai: National Natural Science Foundation of China
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