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Previous lecture

Previous lecture. Texture Synthesis Texture Transfer. =. +. Data-driven methods: Texture 2 (Sz 10.5). Cs129 Computational Photography James Hays, Brown, fall 2012. Many slides from Alexei Efros. Image Analogies. Aaron Hertzmann 1,2 Chuck Jacobs 2 Nuria Oliver 2 Brian Curless 3

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Previous lecture

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  1. Previous lecture • Texture Synthesis • Texture Transfer = +

  2. Data-driven methods: Texture 2 (Sz 10.5) Cs129 Computational Photography James Hays, Brown, fall 2012 Many slides from Alexei Efros

  3. Image Analogies Aaron Hertzmann1,2 Chuck Jacobs2 Nuria Oliver2 Brian Curless3 David Salesin2,3 1New York University 2Microsoft Research 3University of Washington

  4. Image Analogies A A’ B B’

  5. Blur Filter

  6. Edge Filter

  7. Artistic Filters A A’ B B’

  8. Colorization

  9. Texture-by-numbers A A’ B B’

  10. Super-resolution Input A A’

  11. Super-resolution Result B B’

  12. Graphcut Textures: Image and Video Synthesis Using Graph CutsVivek Kwatra , Arno Schödl , Irfan Essa , Greg Turk and Aaron BobickTo appear in Proc. ACM Transactions on Graphics, SIGGRAPH 2003

  13. Graph cut vs Dynamic Programming • What’s the advantage of a graph cut over dynamic programming here?

  14. Scene Completion

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