Parallel controllable texture synthesis

By Sylvain Lefebvre, Hugues Hoppe. ACM Transactions on Graphics, 2005

321 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Synthesizing structured image hybrids (2010, methodology): “We build on the method of Lefebvre and Hoppe [2005] , and follow the notations established therein.”
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks (2019, methodology): “Multi-scale image generation is a well established technique, with methods existing well before deep networks became popular for this task [20, 35].”
PatchMatch: a randomized correspondence algorithm for structural image editing (2009, methodology): “When doing approximate matching with PCA, we found that vp-trees are slower than kdtrees for equivalent error values, so we omitted them from our comparison above.”
MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis (2019, methodology): “The idea of multi-scale image generation is a well established technique, with methods existing well before deep networks became popular for this task [17, 29].”
Scattering Representations for Recognition (2013, methodology): “6 Exemplar based texture synthesis Exemplar-based texture synthesis is a another family of texture synthesis methods with successful numerical results [EF01; KEBK05; LH05], which have made them popular in the computer graphics community.”
The Synthesizability of Texture Examples (2014, background): “A substantial amount of work has been devoted to synthesising textures from examples [13, 33, 7, 16, 19, 27, 5].”