Patternshop: Editing Point Patterns by Image Manipulation -- Supplemental Webpage

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Xingchang Huang, Max-Planck-Institut für Informatik, Germany

Tobias Ritschel, University College London, United Kingdom

Hans-Peter Seidel, Max-Planck-Institut für Informatik, Germany

Pooran Memari, CNRS, LIX, École Polytechnique, IP Paris, INRIA, France

Gurprit Singh, Max-Planck-Institut für Informatik, Germany

We provide additional results on different applications. Please click on the links to see the results.

• Application: point pattern design

• Application: image stippling reconstruction and editing (face)

• Application: image stippling reconstruction and editing (other categories)

• Application: face stippling reconstruction and editing (input from other methods)

• Application: face stippling reconstruction (identity edit)

• Application: point pattern expansion

• Failure cases

Summary:

• If the point correlation does not capture the underlying density well, our network cannot reconstruct the details of the face, though the re-synthesized points seems still similar to the input.

The PDF link of the pointsets are provided on top of the pointset images. Please zoom-in or right-click for downloading if needed.

1. Input points (from our synthesis) [PDF]

Network output

Editing (identity)

Our edit-aware synthesis [PDF]

Network output (L)

Network output (AB)

Editing (L)

Editing (AB)

2. Input points (from our synthesis) [PDF]

Network output

Editing (identity)

Our edit-aware synthesis [PDF]

Network output (L)

Network output (AB)

Editing (L)

Editing (AB)