GBIB Beta

graphbib: A searchable database with over 13,000 unique entries from the fields of computer graphics, computer vision, animation, and perception.

Enter a search term in the box. "AND" and "OR" work. Results returned, by year, in descending order (newest first).

Your query returned 8 results.

Result #1 of 8.
A machine learning approach for filtering Monte Carlo noise
Nima Khademi Kalantari, Steve Bako, Pradeep Sen
In ACM Transactions on Graphics (TOG), 34(4), August 2015.
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Result #2 of 8.
Removing the Noise in Monte Carlo Rendering with General Image Denoising Algorithms
Nima Khademi Kalantari, Pradeep Sen
In Computer Graphics Forum, 32(2pt1), 2013.
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Result #3 of 8.
Patch-based high dynamic range video
Nima Khademi Kalantari, Eli Shechtman, Connelly Barnes, Soheil Darabi, Dan B Goldman, Pradeep Sen
In ACM Transactions on Graphics, 32(6), November 2013.
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Result #4 of 8.
Fast Generation of Approximate Blue Noise Point Sets
Nima Khademi Kalantari, Pradeep Sen
In Computer Graphics Forum, 31(4), 2012.
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Result #5 of 8.
Fast Generation of Approximate Blue Noise Point Sets
Nima Khademi Kalantari, Pradeep Sen
Rendering Techniques (EGSR'12), 2012, pp. 1529--1535.
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Result #6 of 8.
Robust patch-based HDR reconstruction of dynamic scenes
Pradeep Sen, Nima Khademi Kalantari, Maziar Yaesoubi, Soheil Darabi, Dan B Goldman, Eli Shechtman
In ACM Transactions on Graphics, 31(6), November 2012.
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Result #7 of 8.
Efficient Computation of Blue Noise Point Sets through Importance Sampling
Nima Khademi Kalantari, Pradeep Sen
In Computer Graphics Forum, 30(4), June 2011.
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Result #8 of 8.
Efficient Computation of Blue Noise Point Sets through Importance Sampling
Nima Khademi Kalantari, Pradeep Sen
Rendering Techniques (EGSR'11), 2011, pp. 1215--1221.
(more...)