A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | UID | title | authors | date | venue | keywords | link | code_link | |||||||||||||||||
2 | narihira2015judgement | "Learning Lightness from Human Judgement on Relative Reflectance" | Takuya Narihira|Michael Maire|Stella X. Yu | 2015 | CVPR | weak-supervision|neural | https://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.5035 | ||||||||||||||||||
3 | narihira2015direct | "Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression" | Takuya Narihira|Michael Maire|Stella X. Yu | 2015 | ICCV | intrinsic diffuse|full-supervision|gradients|neural | https://github.com/tnarihi/direct-intrinsics | ||||||||||||||||||
4 | zhou2015learning | "Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition" | Tinghui Zhou|Philipp Krahenbuhl|Alexei A. Efros | 2015 | ICCV | intrinsic diffuse|weak-supervision|neural | https://arxiv.org/abs/1510.02413 | https://github.com/tinghuiz/learn-reflectance | |||||||||||||||||
5 | zoran2015learning | "Learning Ordinal Relationships for Mid-Level Vision" | Daniel Zoran|Phillip Isola|Dilip Krishnan|William T. Freeman | 2015 | ICCV | intrinsic diffuse|weak-supervision|neural | https://people.csail.mit.edu/danielzoran/ordinal.pdf | ||||||||||||||||||
6 | kovacs2017shading | "Shading Annotations in the Wild" | Balazs Kovacs|Sean Bell|Noah Snavely|Kavita Bala | 2017 | CVPR | intrinsic diffuse|weak-supervision|dataset|neural | https://arxiv.org/abs/1705.01156 | https://github.com/kovibalu/saw_release | |||||||||||||||||
7 | nestmeyer2017reflectance | "Reflectance Adaptive Filtering Improves Intrinsic Image Estimation" | Thomas Nestmeyer|Peter V. Gehler | 2017 | CVPR | intrinsic diffuse|weak-supervision|heuristic priors|neural | https://arxiv.org/abs/1612.05062 | https://github.com/tnestmeyer/reflectance-filtering | |||||||||||||||||
8 | shi2017learning | "Learning Non-Lambertian Object Intrinsics across ShapeNet Categories" | Jian Shi|Yue Dong|Hao Su|Stella X. Yu | 2017 | CVPR | intrinsic residual|full-supervision|gradients|neural | https://arxiv.org/abs/1612.08510 | https://github.com/shi-jian/shapenet-intrinsics | |||||||||||||||||
9 | janner2017self | "Self-Supervised Intrinsic Image Decomposition" | Michael Janner|Jiajun Wu|Tejas D. Kulkarni|Ilker Yildirim|Joshua B. Tenenbaum | 2017 | CVPR | intrinsic diffuse|inverse lighting|normals|full-supervision|self-supervision|objects|neural | https://arxiv.org/abs/1711.03678 | https://github.com/JannerM/intrinsics-network | |||||||||||||||||
10 | meka2018lime | "LIME: Live Intrinsic Material Estimation" | Abhimitra Meka|Maxim Maximov|Michael Zollhoefer|Avishek Chatterjee|Hans-Peter Seidel|Christian Richardt|Christian Theobalt | 2018 | CVPR | intrinsic residual|inverse lighting|phong|self-supervision|objects|neural | https://vcai.mpi-inf.mpg.de/projects/LIME/ | ||||||||||||||||||
11 | baslamisli2018cnn | "CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition" | Anil S. Baslamisli|Hoang-An Le|Theo Gevers | 2018 | CVPR | intrinsic diffuse|full-supervision|self-supervision|gradients|neural | https://arxiv.org/abs/1712.01056 | ||||||||||||||||||
12 | cheng2018intrinsic | "Intrinsic Image Transformation via Scale Space Decomposition" | Lechao Cheng|Chengyi Zhang|Zicheng Liao | 2018 | CVPR | intrinsic diffuse|full-supervision|self-supervision|heuristic priors|neural | https://arxiv.org/abs/1805.10253 | https://github.com/liygcheng/PyrResNet | |||||||||||||||||
13 | fan2018revisiting | "Revisiting Deep Intrinsic Image Decompositions" | Qingnan Fan|Jiaolong Yang|Gang Hua|Baoquan Chen|David Wipf | 2018 | CVPR | intrinsic diffuse|weak-supervision|full-supervision|gradients|heuristic priors|neural | https://arxiv.org/abs/1701.02965 | https://github.com/fqnchina/IntrinsicImage | |||||||||||||||||
14 | li2018watching | "Learning Intrinsic Image Decomposition from Watching the World" | Zhengqi Li|Noah Snavely | 2018 | CVPR | intrinsic diffuse|self-supervision|multi-image|heuristic priors|dataset|neural | https://arxiv.org/abs/1804.00582 | https://github.com/zl548/unsupervised-learning-intrinsic-images | |||||||||||||||||
15 | yu2019inverserendernet | "InverseRenderNet: Learning single image inverse rendering" | Ye Yu|William A. P. Smith | 2019 | CVPR | intrinsic diffuse|inverse lighting|normals|full-supervision|self-supervision|multi-image|heuristic priors|neural | https://arxiv.org/abs/1811.12328 | https://github.com/YeeU/InverseRenderNet | |||||||||||||||||
16 | li2018cgintrinsics | "CGIntrinsics: Better Intrinsic Image Decomposition through Physically-Based Rendering" | Zhengqi Li|Noah Snavely | 2018 | ECCV | intrinsic diffuse|weak-supervision|full-supervision|gradients|heuristic priors|dataset|neural | https://arxiv.org/abs/1808.08601 | https://github.com/zl548/CGIntrinsics | |||||||||||||||||
17 | ma2018single | "Single Image Intrinsic Decomposition Without a Single Intrinsic Image" | Wei-Chiu Ma|Hang Chu|Bolei Zhou|Raquel Urtasun|Antonio Torralba | 2018 | ECCV | intrinsic diffuse|full-supervision|gradients|self-supervision|multi-image|neural | https://www.semanticscholar.org/paper/Single-Image-Intrinsic-Decomposition-Without-a-Ma-Chu/d21ae77ae653bfb766ebc916ddf6047a45abfa30 | ||||||||||||||||||
18 | bi2018deep | "Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition" | Sai Bi|Nima Khademi Kalantari|Ravi Ramamoorthi | 2018 | EGSR | intrinsic diffuse|full-supervision|self-supervision|multi-image|heuristic priors|neural | https://arxiv.org/abs/1807.11226 | ||||||||||||||||||
19 | lettry2018darn | "DARN: a Deep Adversial Residual Network for Intrinsic Image Decomposition" | Louis Lettry|Kenneth Vanhoey|Luc Van Gool | 2018 | WACV | intrinsic diffuse|full-supervision|gradients|self-supervision|neural | https://arxiv.org/abs/1612.07899 | ||||||||||||||||||
20 | sengupta2019neural | "Neural Inverse Rendering of an Indoor Scene from a Single Image" | Soumyadip Sengupta|Jinwei Gu|Kihwan Kim|Guilin Liu|David W. Jacobs|Jan Kautz | 2019 | ICCV | intrinsic residual|inverse lighting|phong|normals|self-supervision|weak-supervision|neural | https://arxiv.org/abs/1901.02453 | ||||||||||||||||||
21 | zhou2019glosh | "GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition" | Hao Zhou|Xiang Yu|David W. Jacobs | 2019 | ICCV | intrinsic diffuse|inverse lighting|spherical gaussians|normals|full-supervision|self-supervision|neural | https://openaccess.thecvf.com/content_ICCV_2019/html/Zhou_GLoSH_Global-Local_Spherical_Harmonics_for_Intrinsic_Image_Decomposition_ICCV_2019_paper.html | ||||||||||||||||||
22 | liu2020unsupervised | "Unsupervised Learning for Intrinsic Image Decomposition from a Single Image" | Yunfei Liu|Yu Li|Shaodi You|Feng Lu | 2020 | CVPR | intrinsic diffuse|self-supervision|heuristic priors|neural | https://arxiv.org/abs/1911.09930 | https://github.com/DreamtaleCore/USI3D | |||||||||||||||||
23 | li2020inverse | "Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF from a Single Image" | Zhengqin Li| Mohammad Shafiei|Ravi Ramamoorthi|Kalyan Sunkavalli|Manmohan Chandraker | 2020 | CVPR | intrinsic residual|svbrdf|inverse lighting|spherical gaussians|normals|full-supervision|self-supervision|heuristic priors|neural | https://arxiv.org/abs/1905.02722 | https://github.com/lzqsd/InverseRenderingOfIndoorScene | |||||||||||||||||
24 | grosse2009 | "Ground truth dataset and baseline evaluations for intrinsic image algorithms" | Roger Grosse|Micah K. Johnson | Edward H. Adelson| William T. Freeman | 2009 | ICCV | dataset | https://www.cs.toronto.edu/~rgrosse/iccv09-intrinsic.pdf | ||||||||||||||||||
25 | MPISintel2012 | "A Naturalistic Open Source Movie for Optical Flow Evaluation" | Daniel J. Butler | Jonas Wulff | Garrett B. Stanley | Michael J. Black | 2012 | ECCV | dataset | https://files.is.tue.mpg.de/black/papers/ButlerECCV2012.pdf | ||||||||||||||||||
26 | ILC2013 | "User-assisted Image Compositing for Photographic Lighting" | Ivaylo Boyadzhiev | Sylvain Paris | Kavita Bala | 2013 | SIG | dataset | http://people.csail.mit.edu/sparis/publi/2013/siggraph_lighting/Boyadzhiev_13_User-assisted_Image_Compositing.pdf | ||||||||||||||||||
27 | IIW2014 | "Intrinsic images in the wild" | Sean Bell | Kavita Bala | Noah Snavely | 2014 | SIG | dataset | http://opensurfaces.cs.cornell.edu/intrinsic/ | ||||||||||||||||||
28 | ShapeNet2015 | "ShapeNet An Information-Rich 3D Model Repository" | Angel X. Chang | Thomas Funkhouser | Leonidas Guibas | Pat Hanrahan | Qixing Huang | Zimo Li | Silvio Savarese | Manolis Savva | Shuran Song | Hao Su | Jianxiong Xiao | Li Yi | Fisher Yu | 2015 | ArXiv | dataset | https://shapenet.org/publications | ||||||||||||||||||
29 | SUNCG2017 | "Semantic scene completion from a single depth image" | Shuran Song | Fisher Yu | Andy Zeng | Angel X. Chang | Manolis Savva | Thomas Funkhouser | 2017 | CVPR | dataset | http://sscnet.cs.princeton.edu/ | ||||||||||||||||||
30 | PBRS2017 | "Physically-based rendering for indoor scene understanding using convolutional neural networks" | Yinda Zhang | Shuran Song | Ersin Yumer | Manolis Savva | Joon-Young Lee | Hailin Jin | Thomas Funkhouser | 2017 | CVPR | dataset | https://arxiv.org/abs/1612.07429 | ||||||||||||||||||
31 | FSVG2018 | "Free supervision from video games" | Philipp Krähenbühl | 2018 | CVPR | dataset | http://www.philkr.net/fsv/ | ||||||||||||||||||
32 | MegaDepth2018 | "MegaDepth: Learning single-view depth prediction from internet photos." | Zhengqi Li, Noah Snavely | 2018 | CVPR | dataset | https://www.cs.cornell.edu/projects/megadepth/ | ||||||||||||||||||
33 | shekhar2021 | "Interactive Photo Editing on Smartphones via Intrinsic Decomposition" | Sumit Shekhar|Max Reimann|Maximilian Mayer|Amir Semmo|Sebastian Pasewaldt|Jürgen Döllner|Matthias Trapp | 2021 | EG | intrinsic diffuse|optimization|editing | https://ivpg.hpi3d.de/ipesid/ | ||||||||||||||||||
34 | shekhar2018 | "Light-Field Intrinsic Dataset" | Sumit Shekhar|Shida Beigpour|Matthias Ziegler|Michał Chwesiuk|Dawid Paleń|Karol Myszkowski|Joachim Keinert|Radosław Mantiuk|Piotr Didyk | 2018 | BMVC | dataset | http://lfid.mpi-inf.mpg.de/ | ||||||||||||||||||
35 | saini2016 | "Intrinsic image decomposition using focal stacks" | Saurabh Saini|Parikshit Sakurikar|P J Narayanan | 2016 | ICVGIP | intrinsic diffuse|optimization|focal stacking | https://dl.acm.org/doi/abs/10.1145/3009977.3010046 | ||||||||||||||||||
36 | saini2018 | "Semantic priors for IID" | Saurabh Saini|P J Narayanan | 2018 | BMVC | intrinsic diffuse|optimization | http://bmvc2018.org/contents/papers/0796.pdf | ||||||||||||||||||
37 | luo2020 | "NIID-Net: Adapting Surface Normal Knowledge for Intrinsic Image Decomposition in Indoor Scenes" | Jundan Luo| Zhaoyang Huang|Yijin Li|Xiaowei Zhou|Guofeng Zhang|Hujun Bao | 2020 | TVCG | intrinsic diffuse|neural|normals | https://github.com/zju3dv/NIID-Net | ||||||||||||||||||
38 | baslamisli2018 | "Joint Learning of Intrinsic Images and Semantic Segmentation" | Anil S. Baslamisli|Thomas T. Groenestege|Partha Das|Hoang-An Le|Sezer Karaoglu|Theo Gevers | 2018 | ECCV | intrinsic diffuse|neural|dataset | https://openaccess.thecvf.com/content_ECCV_2018/papers/Anil_Baslamisli_Joint_Learning_of_ECCV_2018_paper.pdf | ||||||||||||||||||
39 | baslamisli2021 | "ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition" | Anil S. Baslamisli|Partha Das|Hoang-An Le|Sezer Karaoglu|Theo Gevers | 2021 | IJCV | intrinsic diffuse|neural|global illumination | https://link.springer.com/article/10.1007/s11263-021-01477-5 | ||||||||||||||||||
40 | You can add your paper below this row ↓↓↓↓↓ Note that the updates won't be instant | ||||||||||||||||||||||||
41 | Roberts2020 | "Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding" | Mike Roberts|Nathan Paczan | 2020 | ICCV | dataset | https://github.com/apple/ml-hypersim | ||||||||||||||||||
42 | Paradigms2022 | "Intrinsic Image Decomposition using Paradigms" | D. A. Forsyth|Jason J. Rock | 2022 | TPAMI | intrinsic diffuse|neural | https://ieeexplore.ieee.org/document/9573351 | ||||||||||||||||||
43 | meka2016LIV | "Live Intrinsic Video" | Abhimitra Meka|Michael Zollhöfer|Christian Richardt|Christian Theobalt | 2016 | SIG | intrinsic diffuse|optimization|editing|live|real-time | https://vcai.mpi-inf.mpg.de/projects/LiveIntrinsicVideo/ | ||||||||||||||||||
44 | meka2021realtime | "Real-time Global Illumination Decomposition of Videos" | Abhimitra Meka*|Mohammad Shafiei*|Michael Zollhöfer|Christian Richardt|Christian Theobalt | 2021 | TOG | intrinsic diffuse|optimization|global illumination|editing|live|real-time | https://vcai.mpi-inf.mpg.de/projects/LiveIlluminationDecomposition/ | ||||||||||||||||||
45 | meka2017live | "Live User-Guided Intrinsic Video For Static Scenes" | Abhimitra Meka*|Gereon Fox*|Michael Zollhöfer|Christian Richardt|Christian Theobalt | 2017 | TVCG | intrinsic diffuse|optimization|editing|live|real-time|interactive | https://vcai.mpi-inf.mpg.de/projects/InteractiveIntrinsicAR/ | ||||||||||||||||||
46 | careagc2023intrinsic | "Intrinsic Image Decomposition via Ordinal Shading" | Chris Careaga|Yağız Aksoy | 2023 | TOG | intrinsic diffuse|editing|neural|full-supervision|gradients | https://yaksoy.github.io/intrinsic/ | https://github.com/compphoto/Intrinsic | |||||||||||||||||
47 | |||||||||||||||||||||||||
48 | |||||||||||||||||||||||||
49 | |||||||||||||||||||||||||
50 | |||||||||||||||||||||||||
51 | |||||||||||||||||||||||||
52 | |||||||||||||||||||||||||
53 | |||||||||||||||||||||||||
54 | |||||||||||||||||||||||||
55 | |||||||||||||||||||||||||
56 | |||||||||||||||||||||||||
57 | |||||||||||||||||||||||||
58 | |||||||||||||||||||||||||
59 | |||||||||||||||||||||||||
60 | |||||||||||||||||||||||||
61 | |||||||||||||||||||||||||
62 | |||||||||||||||||||||||||
63 | |||||||||||||||||||||||||
64 | |||||||||||||||||||||||||
65 | |||||||||||||||||||||||||
66 | |||||||||||||||||||||||||
67 | |||||||||||||||||||||||||
68 | |||||||||||||||||||||||||
69 | |||||||||||||||||||||||||
70 | |||||||||||||||||||||||||
71 | |||||||||||||||||||||||||
72 | |||||||||||||||||||||||||
73 | |||||||||||||||||||||||||
74 | |||||||||||||||||||||||||
75 | |||||||||||||||||||||||||
76 | |||||||||||||||||||||||||
77 | |||||||||||||||||||||||||
78 | |||||||||||||||||||||||||
79 | |||||||||||||||||||||||||
80 | |||||||||||||||||||||||||
81 | |||||||||||||||||||||||||
82 | |||||||||||||||||||||||||
83 | |||||||||||||||||||||||||
84 | |||||||||||||||||||||||||
85 | |||||||||||||||||||||||||
86 | |||||||||||||||||||||||||
87 | |||||||||||||||||||||||||
88 | |||||||||||||||||||||||||
89 | |||||||||||||||||||||||||
90 | |||||||||||||||||||||||||
91 | |||||||||||||||||||||||||
92 | |||||||||||||||||||||||||
93 | |||||||||||||||||||||||||
94 | |||||||||||||||||||||||||
95 | |||||||||||||||||||||||||
96 | |||||||||||||||||||||||||
97 | |||||||||||||||||||||||||
98 | |||||||||||||||||||||||||
99 | |||||||||||||||||||||||||
100 |