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Beibei Wang 0002
Person information
- affiliation: Nanjing University of Science and Technolog, Nanjing, China
- affiliation (PhD 2014): Shandong University, Jinan, China
Other persons with the same name
- Beibei Wang — disambiguation page
- Beibei Wang 0001 — Origin Wireless, Rockville, MD, USA (and 1 more)
- Beibei Wang 0003 — Jilin University, College of Computer Science and Technology, Changchun, China
- Beibei Wang 0004 — Ohio University, Athens, OH, USA
- Beibei Wang 0005 — Polytechnic University, Brooklyn, NY, USA
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2020 – today
- 2024
- [j30]Youxin Xing, Gaole Pan, Xiang Chen, Ji Wu, Lu Wang, Beibei Wang:
Real-time all-frequency global illumination with radiance caching. Comput. Vis. Media 10(5): 923-936 (2024) - [j29]Wenshi Wu, Beibei Wang, Milos Hasan, Lei Zhang, Zhong Jin, Ling-Qi Yan:
Efficient participating media rendering with differentiable regularization. Comput. Vis. Media 10(5): 937-948 (2024) - [j28]Jia Li, Lu Wang, Lei Zhang, Beibei Wang:
TensoSDF: Roughness-aware Tensorial Representation for Robust Geometry and Material Reconstruction. ACM Trans. Graph. 43(4): 150:1-150:13 (2024) - [c20]Jia Li, Ziling Chen, Xiaolong Wu, Lu Wang, Beibei Wang, Lei Zhang:
Neural Super-Resolution for Real-Time Rendering with Radiance Demodulation. CVPR 2024: 4357-4367 - [c19]Yingjie Tang, Zixuan Li, Milos Hasan, Jian Yang, Beibei Wang:
Woven Fabric Capture with a Reflection-Transmission Photo Pair. SIGGRAPH (Conference Paper Track) 2024: 20 - [c18]Xiang Chen, Lu Wang, Beibei Wang:
Real-time Neural Woven Fabric Rendering. SIGGRAPH (Conference Paper Track) 2024: 63 - [i15]Gaole Pan, Yuang Cui, Jian Yang, Beibei Wang:
WetSpongeCake: a Surface Appearance Model Considering Porosity and Saturation. CoRR abs/2401.15628 (2024) - [i14]Jia Li, Lu Wang, Lei Zhang, Beibei Wang:
TensoSDF: Roughness-aware Tensorial Representation for Robust Geometry and Material Reconstruction. CoRR abs/2402.02771 (2024) - [i13]Zilin Xu, Zahra Montazeri, Beibei Wang, Lingqi Yan:
A Dynamic By-example BTF Synthesis Scheme. CoRR abs/2405.14025 (2024) - [i12]Xiang Chen, Lu Wang, Beibei Wang:
Real-time Neural Woven Fabric Rendering. CoRR abs/2406.17782 (2024) - [i11]Yingjie Tang, Zixuan Li, Milos Hasan, Jian Yang, Beibei Wang:
Woven Fabric Capture with a Reflection-Transmission Photo Pair. CoRR abs/2406.19398 (2024) - [i10]Zixuan Li, Pengfei Shen, Hanxiao Sun, Zibo Zhang, Yu Guo, Ligang Liu, Ling-Qi Yan, Steve Marschner, Milos Hasan, Beibei Wang:
Fiber-level Woven Fabric Capture from a Single Photo. CoRR abs/2409.06368 (2024) - [i9]Jiahui Fan, Fujun Luan, Jian Yang, Milos Hasan, Beibei Wang:
RNG: Relightable Neural Gaussians. CoRR abs/2409.19702 (2024) - 2023
- [j27]Xiaofeng Xu, Lu Wang, Beibei Wang:
Efficient Caustics Rendering via Spatial and Temporal Path Reuse. Comput. Graph. Forum 42(7) (2023) - [j26]Beibei Wang, Wenhua Jin, Milos Hasan, Ling-Qi Yan:
SpongeCake: A Layered Microflake Surface Appearance Model. ACM Trans. Graph. 42(1): 8:1-8:16 (2023) - [j25]Pengfei Shen, Rui-Zeng Li, Beibei Wang, Ligang Liu:
Scratch-based Reflection Art via Differentiable Rendering. ACM Trans. Graph. 42(4): 65:1-65:12 (2023) - [j24]Jie Guo, Zeru Li, Xueyan He, Beibei Wang, Wenbin Li, Yanwen Guo, Ling-Qi Yan:
MetaLayer: A Meta-Learned BSDF Model for Layered Materials. ACM Trans. Graph. 42(6): 222:1-222:15 (2023) - [j23]Jiahui Fan, Beibei Wang, Wenshi Wu, Milos Hasan, Jian Yang, Ling-Qi Yan:
Efficient Specular Glints Rendering With Differentiable Regularization. IEEE Trans. Vis. Comput. Graph. 29(6): 2940-2949 (2023) - [c17]Jiahui Fan, Beibei Wang, Milos Hasan, Jian Yang, Ling-Qi Yan:
Neural Biplane Representation for BTF Rendering and Acquisition. SIGGRAPH (Conference Paper Track) 2023: 81:1-81:11 - [c16]Yuang Cui, Gaole Pan, Jian Yang, Lei Zhang, Lingqi Yan, Beibei Wang:
Multiple-bounce Smith Microfacet BRDFs using the Invariance Principle. SIGGRAPH Asia 2023: 39:1-39:10 - [i8]Yuang Cui, Gaole Pan, Beibei Wang, Jian Yang, Lei Zhang, Ling-qi Yan:
Multiple-bounce Smith Microfacet BRDFs: A Height-free Formulation using the Invariance Principle. CoRR abs/2302.03408 (2023) - [i7]Jia Li, Ziling Chen, Xiaolong Wu, Lu Wang, Beibei Wang, Lei Zhang:
Neural Super-Resolution for Real-time Rendering with Radiance Demodulation. CoRR abs/2308.06699 (2023) - 2022
- [j22]Tao Wen, Beibei Wang, Lei Zhang, Jie Guo, Nicolas Holzschuch:
SVBRDF Recovery from a Single Image with Highlights Using a Pre-trained Generative Adversarial Network. Comput. Graph. Forum 41(6): 110-123 (2022) - [j21]Wenshi Wu, Beibei Wang, Ling-Qi Yan:
A survey on rendering homogeneous participating media. Comput. Vis. Media 8(2): 177-198 (2022) - [j20]Hong Deng, Yang Liu, Beibei Wang, Jian Yang, Lei Ma, Nicolas Holzschuch, Ling-Qi Yan:
Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition. ACM Trans. Graph. 41(2): 22:1-22:17 (2022) - [j19]Beibei Wang, Wenhua Jin, Jiahui Fan, Jian Yang, Nicolas Holzschuch, Ling-Qi Yan:
Position-free multiple-bounce computations for smith microfacet BSDFs. ACM Trans. Graph. 41(4): 134:1-134:14 (2022) - [c15]Jiahui Fan, Beibei Wang, Milos Hasan, Jian Yang, Ling-Qi Yan:
Neural Layered BRDFs. SIGGRAPH (Conference Paper Track) 2022: 4:1-4:8 - [c14]Wenhua Jin, Beibei Wang, Milos Hasan, Yu Guo, Steve Marschner, Ling-Qi Yan:
Woven Fabric Capture from a Single Photo. SIGGRAPH Asia 2022: 33:1-33:8 - [c13]He Li, Beibei Wang, Changhe Tu, Kun Xu, Nicolas Holzschuch, Ling-Qi Yan:
Unbiased Caustics Rendering Guided by Representative Specular Paths. SIGGRAPH Asia 2022: 41:1-41:8 - [i6]Yaoyi Bai, Songyin Wu, Zheng Zeng, Beibei Wang, Ling-Qi Yan:
BSDF Importance Baking: A Lightweight Neural Solution to Importance Sampling Parametric BSDFs. CoRR abs/2210.13681 (2022) - 2021
- [j18]Weiheng Lin, Beibei Wang, Jian Yang, Lu Wang, Ling-Qi Yan:
Path-based Monte Carlo Denoising Using a Three-Scale Neural Network. Comput. Graph. Forum 40(1): 369-381 (2021) - [j17]Tao Zhuang, Pengfei Shen, Beibei Wang, Ligang Liu:
Real-time Denoising Using BRDF Pre-integration Factorization. Comput. Graph. Forum 40(7): 173-180 (2021) - [j16]Liangsheng Ge, Beibei Wang, Lu Wang, Xiangxu Meng, Nicolas Holzschuch:
Interactive Simulation of Scattering Effects in Participating Media Using a Neural Network Model. IEEE Trans. Vis. Comput. Graph. 27(7): 3123-3134 (2021) - [c12]Zhongmin Xue, Beibei Wang, Lei Ma:
A Deep Learning Method for 2D Image Stippling. CGI 2021: 300-311 - [c11]Chengzhi Tao, Jie Guo, Chen Gong, Beibei Wang, Yanwen Guo:
Real-Time Antialiased Area Lighting Using Multi-Scale Linearly Transformed Cosines. PG (Short Papers, Posters, and Work-in-Progress Papers) 2021: 7-12 - [i5]Beibei Wang, Wenhua Jin, Jiahui Fan, Jian Yang, Nicolas Holzschuch, Ling-Qi Yan:
Position-free Multiple-bounce Computations for Smith Microfacet BSDFs. CoRR abs/2109.14398 (2021) - [i4]Hong Deng, Yang Liu, Beibei Wang, Jian Yang, Lei Ma, Nicolas Holzschuch, Ling-Qi Yan:
Constant-Cost Spatio-Angular Prefiltering of Glinty Appearance Using Tensor Decomposition. CoRR abs/2109.14807 (2021) - [i3]Beibei Wang, Wenhua Jin, Milos Hasan, Ling-Qi Yan:
SpongeCake: A Layered Microflake Surface Appearance Model. CoRR abs/2110.07145 (2021) - [i2]Tao Wen, Beibei Wang, Lei Zhang, Jie Guo, Nicolas Holzschuch:
SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network. CoRR abs/2111.00943 (2021) - [i1]Jiahui Fan, Beibei Wang, Milos Hasan, Jian Yang, Ling-Qi Yan:
Neural BRDFs: Representation and Operations. CoRR abs/2111.03797 (2021) - 2020
- [j15]Beibei Wang, Hong Deng, Nicolas Holzschuch:
Real-Time Glints Rendering With Pre-Filtered Discrete Stochastic Microfacets. Comput. Graph. Forum 39(6): 144-154 (2020) - [j14]Zilin Xu, Qiang Sun, Lu Wang, Yanning Xu, Beibei Wang:
Unsupervised Image Reconstruction for Gradient-Domain Volumetric Rendering. Comput. Graph. Forum 39(7): 193-203 (2020) - [j13]Hong Deng, Beibei Wang, Rui Wang, Nicolas Holzschuch:
A practical path guiding method for participating media. Comput. Vis. Media 6(1): 37-51 (2020) - [j12]Weiheng Lin, Beibei Wang, Lu Wang, Nicolas Holzschuch:
A detail preserving neural network model for Monte Carlo denoising. Comput. Vis. Media 6(2): 157-168 (2020) - [j11]Zheng Zeng, Lu Wang, Beibei Wang, Chun-Meng Kang, Yanning Xu:
Denoising Stochastic Progressive Photon Mapping Renderings Using a Multi-Residual Network. J. Comput. Sci. Technol. 35(3): 506-521 (2020) - [j10]Beibei Wang, Milos Hasan, Nicolas Holzschuch, Ling-Qi Yan:
Example-Based Microstructure Rendering with Constant Storage. ACM Trans. Graph. 39(5): 162:1-162:12 (2020) - [j9]Beibei Wang, Milos Hasan, Ling-Qi Yan:
Path cuts: efficient rendering of pure specular light transport. ACM Trans. Graph. 39(6): 238:1-238:12 (2020) - [j8]Beibei Wang, Liangsheng Ge, Nicolas Holzschuch:
Precomputed Multiple Scattering for Rapid Light Simulation in Participating Media. IEEE Trans. Vis. Comput. Graph. 26(7): 2456-2470 (2020) - [j7]Yulin Liang, Beibei Wang, Lu Wang, Nicolas Holzschuch:
Fast Computation of Single Scattering in Participating Media with Refractive Boundaries Using Frequency Analysis. IEEE Trans. Vis. Comput. Graph. 26(10): 2961-2969 (2020) - [c10]Yezi Zhao, Beibei Wang, Yanning Xu, Zheng Zeng, Lu Wang, Nicolas Holzschuch:
Joint SVBRDF Recovery and Synthesis From a Single Image using an Unsupervised Generative Adversarial Network. EGSR (DL) 2020: 53-66
2010 – 2019
- 2019
- [j6]Xiang Xu, Beibei Wang, Lu Wang, Yanning Xu, Chenglei Yang, Xiangxu Meng:
A task and data balanced distributed photon mapping method. Comput. Graph. 82: 214-221 (2019) - [c9]Lei Ma, Hong Deng, Beibei Wang, Yanyun Chen, Tamy Boubekeur:
Real-time structure aware color stippling. SIGGRAPH Posters 2019: 92:1-92:2 - 2018
- [j5]Xiang Xu, Beibei Wang, Lu Wang, Yanning Xu, Tamy Boubekeur:
Vectorized point based global illumination on Intel MIC architecture. Comput. Graph. 70: 206-213 (2018) - [j4]Beibei Wang, Lu Wang, Nicolas Holzschuch:
Fast Global Illumination with Discrete Stochastic Microfacets Using a Filterable Model. Comput. Graph. Forum 37(7): 55-64 (2018) - [j3]Beibei Wang, Nicolas Holzschuch:
Point-Based Rendering for Homogeneous Participating Media with Refractive Boundaries. IEEE Trans. Vis. Comput. Graph. 24(10): 2743-2757 (2018) - [c8]Liangsheng Ge, Beibei Wang, Lu Wang, Nicolas Holzschuch:
A compact representation for multiple scattering in participating media using neural networks. SIGGRAPH Talks 2018: 16:1-16:2 - 2017
- [c7]Beibei Wang, Nicolas Holzschuch:
Precomputed multiple scattering for light simulation in participating medium. SIGGRAPH Talks 2017: 35:1-35:2 - 2016
- [c6]Xiang Xu, Pei Wang, Beibei Wang, Lu Wang, Changhe Tu, Xiangxu Meng, Tamy Boubekeur:
Efficient Point based Global Illumination on Intel MIC Architecture. Eurographics (Posters) 2016: 7-8 - [c5]Beibei Wang, How Bowles:
A Robust and Flexible Real-Time Sparkle Effect. EGSR (EI&I) 2016: 49-54 - [c4]Beibei Wang, Jean-Dominique Gascuel, Nicolas Holzschuch:
Point-Based Light Transport for Participating Media with Refractive Boundaries. EGSR (EI&I) 2016: 109-119 - 2015
- [j2]Beibei Wang, Xiangxu Meng, Tamy Boubekeur:
Wavelet Point-Based Global Illumination. Comput. Graph. Forum 34(4): 143-153 (2015) - [c3]Beibei Wang, Xiangxu Meng, Tamy Boubekeur:
Non-diffuse effects for point-based global illumination. SIGGRAPH Posters 2015: 80:1 - 2014
- [b1]Beibei Wang:
基于点缓存全局光照技术的研究. (Research on Point based Global Illumination / Recherche sur le point de base de Global Illumination). Shandong University, Jinan, China, 2014 - 2013
- [j1]Beibei Wang, Jing Huang, Bert Buchholz, Xiangxu Meng, Tamy Boubekeur:
Factorized Point Based Global Illumination. Comput. Graph. Forum 32(4): 117-123 (2013) - 2012
- [c2]Beibei Wang, Zhen Xu, Yanning Xu, Xiangxu Meng:
Efficient Point Based Global Illumination on GPU. Eurographics (Posters) 2012: 17-18 - 2011
- [c1]Beibei Wang, Xiangxu Meng, Yanning Xu, Xijun Song:
Fast Point Based Global Illumination. CAD/Graphics 2011: 93-98
Coauthor Index
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last updated on 2024-11-22 19:47 CET by the dblp team
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