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Home | Cornell Graphics and Vision Group

Materials in Context Database (MINC). Volume Appearance Models for Cloth. Large-Scale 3D Reconstruction from Photographs. Sound Rendering for Physically Based Simulation. Program of Computer Graphics.

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Home | Cornell Graphics and Vision Group | rgb.cs.cornell.edu Reviews

https://rgb.cs.cornell.edu

Materials in Context Database (MINC). Volume Appearance Models for Cloth. Large-Scale 3D Reconstruction from Photographs. Sound Rendering for Physically Based Simulation. Program of Computer Graphics.

INTERNAL PAGES

rgb.cs.cornell.edu rgb.cs.cornell.edu
1

People | Cornell Graphics and Vision Group

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

Program of Computer Graphics.

2

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.

3

Events | Cornell Graphics and Vision Group

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

Monday, Nov 30th. Monday, Nov 23rd. Monday, Nov 16th. Monday, Nov 9th. Monday, Nov 2nd. No Seminar (CVPR deadline). Monday, Oct 26th. Monday, Oct 19th. Monday, Oct 5th. Monday, Sep 28th. Monday, Sep 21st. Monday, Sep 14th. Monday, Sep 7th. Labor Day (No meeting). Monday, Aug 31st. Monday, May 11th. Monday, May 4th. Monday, Apr 27th. Monday, Apr 20th. Monday, Apr 13th. Eston Schweickart and Nick Savva. Monday, Apr 6th. Monday, Mar 30th. No Seminar (Spring Vacation). Monday, Mar 23rd. Monday, Mar 16th.

4

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...

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

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Home | Cornell Graphics and Vision Group

Materials in Context Database (MINC). Volume Appearance Models for Cloth. Large-Scale 3D Reconstruction from Photographs. Sound Rendering for Physically Based Simulation. Program of Computer Graphics.

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