Texture. CS 419 Slides by Ali Farhadi
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1 Texture CS 419 Slides by Ali Farhadi
2 What is a Texture?
3 Texture Spectrum Steven Li, James Hays, Chenyu Wu, Vivek Kwatra, and Yanxi Liu, CVPR 06
4 Texture scandals!!
5
6 Two crucial algorithmic points Nearest neighbors again and again and again Dynamic programming likely new; we ll use this again, too
7 Texture Synthesis Efros & Leung ICCV99
8 How to paint this pixel?? p Input texture Efros & Leung ICCV99
9 Ask Neighbors p p What is the conditional probability distribution of p, given it s neighbors? Efros & Leung ICCV99
10 Input image Don t bother to model the distribution It s already there, in the image Efros & Leung ICCV99
11 Efros & Leung Algorithm non-parametric sampling p Synthesizing a pixel Input image Efros & Leung ICCV99
12 Concerns Distance metric Neighborhood size Order to paint
13 Distance metric Normalized sum of squared distances Not all the neighbors worth the same Gaussian mask Preserve the local structure Pick among reasonably similar neighborhoods
14 Neighborhood size input Efros & Leung ICCV99
15 Varying Window Size Increasing window size Efros & Leung ICCV99
16 The Order matters
17 Some Results Efros & Leung ICCV99
18 More Results Efros & Leung ICCV99
19 french canvas More Results rafia weave Efros & Leung ICCV99
20 wood More Results granite Efros & Leung ICCV99
21 white bread More Results brick wall Efros & Leung ICCV99
22 Growing Regions Hole Filling Efros & Leung ICCV99
23 Hole Filling Efros & Leung ICCV99
24 Extrapolation Efros & Leung ICCV99
25 Failure Cases Growing garbage Verbatim copying Efros & Leung ICCV99
26 Pros and Cons Very simple Easy to implement Promising results Very sloooooooowwwwwww Idea: Patches instead of pixels
27 Patch based non-parametric sampling B Synthesizing a block Input image Observation neighbouring pixels are highly correlated Idea: unit of synthesis = block Efros & Freeman SIGGRAPH01
28 block Input texture B1 B2 B1 B2 B1 B2 Random placement of blocks Neighboring blocks constrained by overlap Minimal error boundary cut Efros & Freeman SIGGRAPH01
29 overlapping blocks Minimal error boundary vertical boundary _ 2 = overlap error min. error boundary Efros & Freeman SIGGRAPH01
30 Dynamic Programming S T
31 Dynamic Programming S T
32 B1 B2 B1 B2 B1 B2 Random placement of blocks Neighboring blocks constrained by overlap Minimal error boundary cut Efros & Freeman SIGGRAPH01
33 More Results Efros & Freeman SIGGRAPH01
34 More Results Efros & Freeman SIGGRAPH01
35 Efros & Freeman SIGGRAPH01
36 Efros & Freeman SIGGRAPH01
37 Efros & Freeman SIGGRAPH01
38 Efros & Freeman SIGGRAPH01
39 Failures Efros & Freeman SIGGRAPH01
40 Texture Transfer Take the texture from on object and paint it on another object + = Decomposing shape and texture Very challenging Walk around Add some constraint to the search Efros & Freeman SIGGRAPH01
41 Source Texture Destination Source Map Destination Map
42
43 Texture Transfer + = Efros & Freeman SIGGRAPH01
44 + = Efros & Freeman SIGGRAPH01
45 Efros & Freeman SIGGRAPH01
46 parmesan + = rice + = Efros & Freeman SIGGRAPH01
47 Image Analogies? Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
48 Image Analogies Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
49 Image Analogies Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
50 Image Analogies Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
51 Training Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
52 :: : B B Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
53 Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
54 :: : B B Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
55 Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
56 Learn to Blur Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
57 Texture by Numbers Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
58 Colorization Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
59 Super-resolution A A Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
60 Super-resolution (result!) B B Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
61 Training images Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
62 Hertzman, Jacobs, Oliver, Curless, and Salesin, SIGGRAPH01
63 Nearest Neighbor search The core of most of the patch based methods Very slow Smarter neighborhood search Barnes et.al. SIGGRAPH09
64 Applications Barnes et.al. SIGGRAPH09
65 Inpainting Criminisi et.al. CVPR03
66 Inpainting Barnes et.al. SIGGRAPH09
67 Retargeting Avidan, Shamir, SIGGRAPH07
68 Retargeting Seam removal Scaling Cropping Avidan, Shamir, SIGGRAPH07
69 Retargeting Avidan, Shamir, SIGGRAPH07
70 Avidan, Shamir, SIGGRAPH07
71 Retargeting Barnes et.al. SIGGRAPH09
72 Retargeting Barnes et.al. SIGGRAPH09
73 Local scale editing Barnes et.al. SIGGRAPH09
74 reshuffling Barnes et.al. SIGGRAPH09
75 Barnes et.al. SIGGRAPH09
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