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Journals >Laser & Optoelectronics Progress >Volume 59 >Issue 14 >Page 1415014 > Article

Laser & Optoelectronics Progress
Vol. 59, Issue 14, 1415014 (2022)

Efficient Material Editing of Single Image Based on Inverse Rendering

Kunliang Xie¹, Renjiao Yi¹, Haifang Zhou¹, Chenyang Zhu¹..., Yuwan Liu² and Kai Xu^1,*|Show fewer author(s)

Author Affiliations

¹School of Computer Science, National University of Defense Technology, Changsha 410005, Hunan , China

²Dongbu Zhanqu Zhanqinju, Nanjing 210000, Jiangsu , China

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DOI: 10.3788/LOP202259.1415014 Cite this Article Set citation alerts

Kunliang Xie, Renjiao Yi, Haifang Zhou, Chenyang Zhu, Yuwan Liu, Kai Xu. Efficient Material Editing of Single Image Based on Inverse Rendering[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415014 Copy Citation Text

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References

[1] Khan E A, Reinhard E, Fleming R W et al. Image-based material editing[J]. ACM Transactions on Graphics, 25, 654-663(2006).

[2] Boyadzhiev I, Bala K, Paris S et al. Band-sifting decomposition for image-based material editing[J]. ACM Transactions on Graphics, 34, 163(2015).

[3] Liu G L, Ceylan D, Yumer E et al. Material editing using a physically based rendering network[C], 2280-2288(2017).

[4] Meka A, Maximov M, Zollhöfer M et al. LIME: live intrinsic material estimation[C], 6315-6324(2018).

[5] Shi J, Dong Y, Su H et al. Learning non-Lambertian object intrinsics across ShapeNet categories[C], 5844-5853(2017).

[6] Tan P, Lin S, Quan L et al. Highlight removal by illumination-constrained inpainting[C], 164-169(2003).

[7] Kim H, Jin H L, Hadap S et al. Specular reflection separation using dark channel prior[C], 1460-1467(2013).

[8] Guo J, Zhou Z J, Wang L M. Single image highlight removal with a sparse and low-rank reflection model[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11208, 282-298(2018).

[9] Souza A C S, Macedo M C F, Nascimento V P et al. Real-time high-quality specular highlight removal using efficient pixel clustering[C], 56-63(2018).

[10] Fu G, Zhang Q, Zhu L et al. A multi-task network for joint specular highlight detection and removal[C], 7748-7757(2021).

[11] Funt B V, Drew M S, Brockington M. Recovering shading from color images[M]. Sandini G. Computer vision-ECCV'92, 588, 124-132(1992).

[12] Shen L, Yeo C. Intrinsic images decomposition using a local and global sparse representation of reflectance[C], 697-704(2011).

[13] Weiss Y. Deriving intrinsic images from image sequences[C], 68-75(2001).

[14] Lee K J, Zhao Q, Tong X et al. Estimation of intrinsic image sequences from image+depth video[M]. Fitzgibbon A, Lazebnik S, Perona P, et al. Computer vision-ECCV 2012, 7577, 327-340(2012).

[15] Narihira T, Maire M, Yu S X. Direct intrinsics: learning albedo-shading decomposition by convolutional regression[C], 2992(2015).

[16] Li Z Q, Snavely N. CGIntrinsics: better intrinsic image decomposition through physically-based rendering[M]. Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018, 11207, 381-399(2018).

[17] Bell S, Bala K, Snavely N. Intrinsic images in the wild[J]. ACM Transactions on Graphics, 33, 1-12(2014).

[18] Fan Q N, Yang J L, Hua G et al. Revisiting deep intrinsic image decompositions[C], 8944-8952(2018).

[19] Yi R J, Tan P, Lin S. Leveraging multi-view image sets for unsupervised intrinsic image decomposition and highlight separation[J]. Proceedings of the AAAI Conference on Artificial Intelligence, 34, 12685-12692(2020).

[20] Kajiya J T. The rendering equation[J]. ACM Computer Graphics, 20, 143-150(1986).

[21] Blinn J F. Models of light reflection for computer synthesized pictures[J]. ACM Computer Graphics, 11, 192-198(1977).

[22] Zhu J Y, Park T, Isola P et al. Unpaired image-to-image translation using cycle-consistent adversarial networks[C], 2242-2251(2017).

[23] Chang A X, Funkhouser T, Guibas L et al. ShapeNet: an information-rich 3D model repository[EB/OL]. https://arxiv.org/abs/1512.03012

[24] HDRIHAVEN. All HDRIs[EB/OL]. https://hdrihaven.com/hdris/

[25] Ramamoorthi R, Hanrahan P. An efficient representation for irradiance environment maps[C], 497-500(2001).

[26] Robin Green. Spherical harmonic lighting: the gritty details[EB/OL]. http://www.research.scea.com/gdc2003/spherical-harmonic-lighting.html

[27] Akienne-Möller T, Haines E, Hoffmann N[M]. Real-time rendering, 270-276(2008).

[28] Shen H L, Zheng Z H. Real-time highlight removal using intensity ratio[J]. Applied Optics, 52, 4483-4493(2013).

[29] Yamamoto T, Nakazawa A. General improvement method of specular component separation using high-emphasis filter and similarity function[J]. ITE Transactions on Media Technology and Applications, 7, 92-102(2019).

[30] Barron J T, ShapeMalik J. Illumination, and reflectance from shading[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1670-1687(2015).

[31] Lichy D, Wu J Y, Sengupta S et al. Shape and material capture at home[C], 6119-6129(2021).

[32] Grosse R, Johnson M K, Adelson E H et al. Ground truth dataset and baseline evaluations for intrinsic image algorithms[C], 2335-2342(2009).

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Kunliang Xie, Renjiao Yi, Haifang Zhou, Chenyang Zhu, Yuwan Liu, Kai Xu. Efficient Material Editing of Single Image Based on Inverse Rendering[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415014

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