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Texture Synthesis Online demo
The goal of probabilistic texture synthesis can be stated as
follows: to generate a new image, from an example texture, such
that the new image is sufficiently different from the original yet
still appears as though it was generated by the same underlying
stochastic process as was the original texture. If successful,
the new image will differ from the original, yet have perceptually
identical texture characteristics. With this web interface, you
can synthesize new textures from images anywhere on the web using
a technique developed in my
masters thesis and presented in a
paper at SIGGRAPH'97 . Simply enter the URL of the image
which you wish to use as a source, choose the threshold, and
scale. Then fire away!
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BibTeX to HTML
I've built a little program for parsing BibTeX and displaying selected fields
using a formatting file. This formatting file accesses the BibTeX data fields
through a simple mark-up language which allows the embedding of field data with
standard text, html, htex, etc. Blocks can be conditionally printed depending on the
existence of fields. BibTeX includes, and cross references are supported too!
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Tour the MIT AI Lab
As the fearless leader of Athens
in the 1996 MIT AI Olympics
I was responsible for insuring our
teams victory!
Though we were safely in the lead by the time of the interactive Web event,
Carlin Vieri
created this virtual tour of the 7th floor of the AI Lab.
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Texture discrimination analysis
Help me collect data on texture discriminability. In a series of
questions four texture patches are shown. Each texture is
randomly generated. They are all different from one another,
however, one of the patches was generated through a different
process than the others. Can you identify which patch it is?
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1997 AI Olympics Photo Album
To organize the massive numbers of images I colleted with our digital camera,
I designed this self-modifiable image gallery browser. It allows you to select
images, caption them, and add them to a favorates folder.
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Page loaded on December 26, 2024 at 06:27 AM.
Page last modified on
2008-04-14
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Copyright © 1997-2024, Jeremy S. De Bonet.
All rights reserved.
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