Deep Hybrid Real and Synthetic Training for Intrinsic Decomposition
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[1] E. Land,et al. Lightness and retinex theory. , 1971, Journal of the Optical Society of America.
[2] Vladlen Koltun,et al. A Simple Model for Intrinsic Image Decomposition with Depth Cues , 2013, 2013 IEEE International Conference on Computer Vision.
[3] Jian Shi,et al. Learning Non-Lambertian Object Intrinsics Across ShapeNet Categories , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Stephen Lin,et al. A Closed-Form Solution to Retinex with Nonlocal Texture Constraints , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Tim Weyrich,et al. Decomposing Single Images for Layered Photo Retouching , 2017, Comput. Graph. Forum.
[6] Alexei A. Efros,et al. Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[7] William T. Freeman,et al. Learning Ordinal Relationships for Mid-Level Vision , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[8] Jonathan T. Barron,et al. The Fast Bilateral Solver , 2015, ECCV.
[9] H. Barrow,et al. RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES , 1978 .
[10] Adrien Bousseau,et al. Coherent intrinsic images from photo collections , 2012, ACM Trans. Graph..
[11] Stephen M. Smith,et al. SUSAN—A New Approach to Low Level Image Processing , 1997, International Journal of Computer Vision.
[12] Rob Fergus,et al. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network , 2014, NIPS.
[13] Sylvain Paris,et al. User-assisted image compositing for photographic lighting , 2013, ACM Trans. Graph..
[14] Christian Theobalt,et al. Live intrinsic video , 2016, ACM Trans. Graph..
[15] Jitendra Malik,et al. Shape, Illumination, and Reflectance from Shading , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Jonathan T. Barron,et al. Aperture Supervision for Monocular Depth Estimation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[17] Yair Weiss,et al. Deriving intrinsic images from image sequences , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[18] Peter V. Gehler,et al. Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance , 2011, NIPS.
[19] Adolfo Muñoz,et al. Intrinsic Images by Clustering , 2012, Comput. Graph. Forum.
[20] Yizhou Yu,et al. An L1 image transform for edge-preserving smoothing and scene-level intrinsic decomposition , 2015, ACM Trans. Graph..
[21] Edward H. Adelson,et al. Recovering intrinsic images from a single image , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Noah Snavely,et al. Photometric Ambient Occlusion for Intrinsic Image Decomposition , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[23] Stephen Lin,et al. Intrinsic image decomposition with non-local texture cues , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[24] K. Hohn,et al. Determining Lightness from an Image , 2004 .
[25] Leonidas J. Guibas,et al. ShapeNet: An Information-Rich 3D Model Repository , 2015, ArXiv.
[26] Berthold K. P. Horn,et al. Determining lightness from an image , 1974, Comput. Graph. Image Process..
[27] Roberto Manduchi,et al. Bilateral filtering for gray and color images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[28] Stella X. Yu,et al. Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[29] Peter V. Gehler,et al. Reflectance Adaptive Filtering Improves Intrinsic Image Estimation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Michael J. Black,et al. A Naturalistic Open Source Movie for Optical Flow Evaluation , 2012, ECCV.
[31] Edward H. Adelson,et al. Ground truth dataset and baseline evaluations for intrinsic image algorithms , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[32] Balazs Kovacs,et al. Intrinsic Decompositions for Image Editing , 2017, Comput. Graph. Forum.
[33] Vibhav Vineet,et al. Conditional Random Fields as Recurrent Neural Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[34] Noah Snavely,et al. Intrinsic images in the wild , 2014, ACM Trans. Graph..
[35] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[36] 英樹 藤堂,et al. Interactive intrinsic video editing , 2014, ACM Trans. Graph..
[37] Sylvain Paris,et al. User-assisted intrinsic images , 2009, ACM Trans. Graph..