Color Constancy, Intrinsic Images, and Shape Estimation

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How researchers see this paper

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Category-specific object reconstruction from a single image (2014, methodology): “Category-agnostic methods – Puffball[35] and SIRFS[4] – consistently perform worse on the benchmark by themselves.”
Boundary Cues for 3D Object Shape Recovery (2013, methodology): “We emphasize that R, I , and S(·) are all in log-space, as is done in [1] which allows us to write the rendering constraint in additive fashion.”
Learning Category-Specific Deformable 3D Models for Object Reconstruction (2017, methodology): “We also incorporate category-agnostic shape inflation [63] and intrinsic image [53] methods as baselines.”
Single Image Layer Separation Using Relative Smoothness (2014, background): “A discussion and summary concludes the paper in Section 5.”
Ieee Transactions on Pattern Analysis and Machine Intelligence Shape, Illumination, and Reflectance from Shading (unknown): “Earlier versions of this work have been presented in a piecemeal fashion, over the course of many papers [5], [6], [7].”
LIME: Low-Light Image Enhancement via Illumination Map Estimation (2017, methodology): “The model of our problem is similar with that of the intrinsic image decomposition [16], [17], [18], [19], which attempts (b) Reflectancee”
Intrinsic Scene Properties from a Single RGB-D Image (2013, methodology): “Our prior on shape is a modification of that of [3].”