opensurfaces.cs.cornell.edu
IIW - Intrinsic Images in the Wild
http://opensurfaces.cs.cornell.edu/intrinsic
Intrinsic Images in the Wild. Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. Intrinsic Images in the Wild. Is a large scale, public dataset for intrinsic image decompositions of real-world scenes selected from the OpenSurfaces. Cornell Graphics and Vision Group.
opensurfaces.cs.cornell.edu
IIW - Intrinsic Images in the Wild
http://opensurfaces.cs.cornell.edu/publications/intrinsic
Intrinsic Images in the Wild. Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. Intrinsic Images in the Wild. ACM Transactions on Graphics (SIGGRAPH 2014). In this paper we introduce Intrinsic Images in the Wild. We include all collected data as well as a Python implementation of our WHDR metric. Full dataset (release 0, 1.5G). Judgement data only (release 0, 97M). We extended the OpenSurfaces.
opensurfaces.cs.cornell.edu
OpenSurfaces - A Richly Annotated Catalog of Surface Appearance
http://opensurfaces.cs.cornell.edu/publications/minc
Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. Material Recognition in the Wild with the Materials in Context Database. Computer Vision and Pattern Recognition (CVPR) 2015. MINC), and combine this dataset with deep learning to achieve material recognition and segmentation of images in the wild. Downloads: models, images, labels, and annotations. MINC-2500 is a patch classification dataset w...
opensurfaces.cs.cornell.edu
OpenSurfaces - A Richly Annotated Catalog of Surface Appearance
http://opensurfaces.cs.cornell.edu/analytics/material-shapes
Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. Statistics across material shapes. These histograms are fully interactive; click and drag on a chart to filter along that dimension. Click reset to remove the filter. Please try using Google Chrome if they do not display properly. Cornell Graphics and Vision Group.
opensurfaces.cs.cornell.edu
IIW - Intrinsic Images in the Wild
http://opensurfaces.cs.cornell.edu/intrinsic/algorithms
Intrinsic Images in the Wild. Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. This page lists the different intrinsic image algorithms that we included in our evaluation, as well as their best parameters found from training. An example decomposition is included for each algorithm. See our publication [Bell et al. 2014]. All values were computed using leave-one-out cross validation. Http:/ ww...
opensurfaces.cs.cornell.edu
OpenSurfaces - A Richly Annotated Catalog of Surface Appearance
http://opensurfaces.cs.cornell.edu/photos
Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. Has vanishing points (22201). Has intrinsic judgements (5230). Has dense intrinsic judgements (397). Cornell Graphics and Vision Group.
opensurfaces.cs.cornell.edu
OpenSurfaces - A Richly Annotated Catalog of Surface Appearance
http://opensurfaces.cs.cornell.edu/bsdfs/wd/good
Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. You are using an outdated browser. Please upgrade your browser. High quality submissions sorted by quality. There are 51556 items. 0006, 0.006, 0.006. 0063, 0.157, 0.162. 496 s 1 e color: 1.66 gloss: 1.49. 0001, 0.001, 0.001. 0110, 0.071, 0.030. 119 s 2 e color: 1.66 gloss: 1.45. 0000, 0.000, 0.000. 0312, 0.312, 0.312. 293 s 2 e color: 1.56 gloss: 1.55. 0000, 0.000, 0.000. 0543, 0.491, 0.425. 849 s 3 e colo...
opensurfaces.cs.cornell.edu
IIW - Intrinsic Images in the Wild
http://opensurfaces.cs.cornell.edu/intrinsic/judgements
Intrinsic Images in the Wild. Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. We aggregate judgements from 5 users for each pair of points and use the CUBAM machine learning model [Welinder et al. 2010] to model two forms of bias. You are using an outdated browser. Please upgrade your browser. Point separation: 0.03. Point separation: 0.07. Point separation: 0.03. Point separation: 0.07. Point separation: 0.03. Point separation: 0.07.