Appearance-guided synthesis of element arrangements by example

Abstract

Figure 1: Given a reference arrangement composed of vector elements (top left), our analysis scheme divides the raw element set into appearance categories (bottom left). Spatial interactions based on appearance can be learned by statistical modeling and exploited to yield visually similar arrangements (right). AbstractWe present a technique for the analysis and re-synthesis of 2D arrangements of stroke-based vector elements. The capture of an artist's style by the sole posterior analysis of his/her achieved drawing poses a formidable challenge. Such by-example techniques could become one of the most intuitive tools for users to alleviate creation process efforts. Here, we propose to tackle this issue from a statistical point of view and take specific care of accounting for information usually overlooked in previous research, namely the elements' very appearance. Composed of curve-like strokes, we describe elements by a concise set of perceptually relevant features. After detecting appearance dominant traits, we can generate new arrangements that respect the captured appearance-related spatial statistics using multitype point processes. Our method faithfully reproduces visually similar arrangements and relies on neither heuristics nor post-processes to ensure statistical correctness.

Discrete element textures

“…Texture element placement Even though the majority of example-based texturing methods are not suitable for discrete elements, potential solutions have been explored by a few pioneering works, including 1D strokes [Jodoin et al 2002], 2D stipples [Kim et al 2009;Martín et al 2010], 2D particles/elements [Dischler et al 2002;Ijiri et al 2008;Hurtut et al 2009], and 2D agent motions [Lerner et al 2007;Ju et al 2010]. However, these methods treat each element as a single sample without a comprehensive neighborhood metric or a general synthesis solver as in our method; thus they might not faithfully reproduce both overall element distributions and individual element properties, especially shape, orientation, or heterogeneous elements.…”

Real-time continuous self-replicating details for shape deformation

“…Lastly, our ability to maintain the distribution of details throughout the deformation could be improved by making use of a statistical approach [23,13] instead of direct extraction from exemplars. This would require extending point processes to enable the preservation of the existing detail footprints while inserting new ones.…”

State of the "Art”: A Taxonomy of Artistic Stylization Techniques for Images and Video

“…The technique extends the earlier algorithm of Smith et al [142]; and whilst slightly slower, allows affine transformation of the tiles during optimization leading to tighter mosaic arrangements. Hurtut et al [63] combined the principles of texture modeling and mosaicking to learn statistical distributions of tiles. Their mosaics are sparse tile distributions drawn from a set of tile types (e. g., stars, lines, spirals).…”