Mertens, Tom - Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT)

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Mertens, Tom - Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology (MIT)

Noise-Free BSSRDF Rendering On The Cheap Anders Langlands
The Quantized kd-Tree: Efficient Ray Tracing of Compressed Point Clouds Erik Hubo Tom Mertens Tom Haber Philippe Bekaert
Gloss and Normal Map Acquisition Using Gray Codes (sap 0128) Yannick Francken Tom Cuypers Tom Mertens Philippe Bekaert
Light Mixture Estimation for Spatially Varying White Balance Eugene Hsu1 Tom Mertens2 Sylvain Paris3 Shai Avidan3 Fredo Durand1
High Quality Mesostructure Acquisition Using Specularities Yannick Francken Tom Cuypers Tom Mertens Jo Gielis
Eurographics Symposium on Point-Based Graphics (2007) M. Botsch, R. Pajarola (Editors)
Mesostructure from Specularity Using Coded Illumination Yannick Francken Tom Mertens Jo Gielis Philippe Bekaert
Video Enhancement Using Reference Photographs Cosmin Ancuti Tom Haber Tom Mertens Philippe Bekaert
A Computational Approach to Simulate Subsurface Light Diffusion in Arbitrarily Shaped Objects
Eurographics Symposium on Rendering (2004) H. W. Jensen, A. Keller (Editors)
Eurographics Symposium on Rendering 2003 Per Christensen and Daniel Cohen-Or (Editors)
EUROGRAPHICS 2002 / I. Navazo Alvaro and Ph. Slusallek (Guest Editors)