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OPENSURFACES.CS.CORNELL.EDU

OpenSurfaces - A Richly Annotated Catalog of Surface Appearance

OpenSurfaces is a large database of annotated surfaces created from real-world consumer photographs. Our annotation framework draws on crowdsourcing to segment surfaces from photos, and then annotate them with rich surface properties, including material, texture and contextual information.

http://opensurfaces.cs.cornell.edu/

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OpenSurfaces - A Richly Annotated Catalog of Surface Appearance | opensurfaces.cs.cornell.edu Reviews
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OpenSurfaces is a large database of annotated surfaces created from real-world consumer photographs. Our annotation framework draws on crowdsourcing to segment surfaces from photos, and then annotate them with rich surface properties, including material, texture and contextual information.
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OpenSurfaces - A Richly Annotated Catalog of Surface Appearance | opensurfaces.cs.cornell.edu Reviews

https://opensurfaces.cs.cornell.edu

OpenSurfaces is a large database of annotated surfaces created from real-world consumer photographs. Our annotation framework draws on crowdsourcing to segment surfaces from photos, and then annotate them with rich surface properties, including material, texture and contextual information.

INTERNAL PAGES

opensurfaces.cs.cornell.edu opensurfaces.cs.cornell.edu
1

OpenSurfaces - A Richly Annotated Catalog of Surface Appearance

http://opensurfaces.cs.cornell.edu/shapes/name/all

Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. Mat/rug - removable (1231). Exhaust hood/range hood (393). Bed skirt/dust ruffle (43). Stuffed animal/plush toy (19). Not on list (2154). I cant tell (2003). More than one object (35). You are using an outdated browser. Please upgrade your browser. 2807 v 2952.1 s. 2191 v 2352.2 s. 1797 v 27.6 s. 1771 v 2509.3 s. 1769 v 1736.0 s. 1762 v 820.7 s. Cornell Graphics and Vision Group.

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OpenSurfaces - A Richly Annotated Catalog of Surface Appearance

http://opensurfaces.cs.cornell.edu/shapes/substance/all

Intrinsic Images in the Wild [SIG14]. Materials In Context [CVPR15]. Intrinsic Images in the Wild. Plastic - opaque (2371). Plastic - clear (559). I cant tell (1964). More than one material (489). Not on list (16). You are using an outdated browser. Please upgrade your browser. 2807 v 2952.1 s. 2191 v 2352.2 s. 1797 v 27.6 s. 1771 v 2509.3 s. 1769 v 1736.0 s. 1762 v 820.7 s. Cornell Graphics and Vision Group.

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OpenSurfaces - A Richly Annotated Catalog of Surface Appearance

http://opensurfaces.cs.cornell.edu/normals/best

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 complexity. There are 27796 items. 107 ° VP 0.33. 384 ° 17.5 s 0.38. 820 ° VP 1.43. 931 ° VP 0.42. 784 ° VP 0.50. 140 ° VP 0.34. 794 ° 20.2 s 0.63. 51 ° 10.3 s 0.78. 874 ° VP 0.50. 804 ° VP 0.34. 904 ° VP 0.17. 837 ° 11.6 s 0.41. Cornell Graphics and Vision Group.

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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.

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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.

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Papers | Cornell Graphics and Vision Group

http://rgb.cs.cornell.edu/papers

Fitting Procedural Yarn Models for Realistic Cloth Rendering. Shuang Zhao, Fujun Luan, and Kavita Bala. Toward Animating Water with Complex Acoustic Bubbles. Timothy R. Langlois, Changxi Zheng, and Doug L. James. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks. Sean Bell, C. Lawrence Zitnick, Kavita Bala, Ross Girshick. Matching Micro-Appearance Models to Real Fabrics. Pramook Khungurn, Daniel Schroeder, Shuang Zhao, Steve Marschner, and Kavita Bala. Shuan...

rgb.cs.cornell.edu rgb.cs.cornell.edu

Projects | Cornell Graphics and Vision Group

http://rgb.cs.cornell.edu/projects

Caliber: Camera Localization and Calibration Using Rigidity Constraints. Materials in Context Database (MINC). Volume Appearance Models for Cloth. Sound Rendering for Physically Based Simulation. Large-Scale 3D Reconstruction from Photographs. Program of Computer Graphics.

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OpenSurfaces - A Richly Annotated Catalog of Surface Appearance

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. Our SIGGRAPH 2014 paper is now online:. Intrinsic Images in the Wild. The code for our full crowdsourcing pipeline is online:. Cornell Graphics and Vision Group.

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