[Probabilidad-Estadistica-Seminario] Seminario de Probabilidad y Estadística - Lara Raad (IIE, Udelar)

[seminarios en cmat.edu.uy]

Seminario de Probabilidad y Estadística
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Título: "Conditional Gaussian Patch Models for Texture Synthesis"

Expositor: Lara Raad (IIE, Udelar)

Resumen:
 
Exemplar-based texture synthesis is defined as the process of generating, from
an input texture sample, new texture images that are perceptually equivalent to
the input. We model texture self-similarities with conditional Gaussian
distributions in the patch space. These models are then embedded in a patch-
based framework for texture synthesis. The Gaussian distribution for each patch
is inferred from the set of its nearest neighbors in the patch space obtained
from the input sample. A key challenge in patch-based approaches is how to
seamlessly assemble the synthesized patches. We compare two strategies: the
image quilting method [1], which blends overlapping patches by minimizing
boundary discrepancies, and a conditional Gaussian approach [2], where new
patches are constrained to match the overlapping region with previously
synthesized content. The results show that it is possible to dispose of the
quilting step in the case of periodic and pseudo-periodic textures. However, for
more complex textures, the conditional models are less performing and are fast
limited by the size of the texture input sample.

[1] Efros, Alexei A., and William T. Freeman. "Image quilting for texture
synthesis and transfer." Proceedings of the 28th annual conference on Computer
graphics and interactive techniques. 2001. [2] Raad, Lara, Agnès Desolneux, and
Jean-Michel Morel. "A conditional multiscale locally Gaussian texture synthesis
algorithm." Journal of Mathematical Imaging and Vision 56.2 (2016): 260-279.
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Viernes 16/5 a las 10:30, Salón 703. Facultad de Ingeniería.

Contacto: Alejandro Cholaquidis - acholaquidis en hotmail.com
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