Texture attribute synthesis and transfer using feed-forward CNNs - - PowerPoint PPT Presentation

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Aug 21, 2022 343 likes •508 views

Texture attribute synthesis and transfer using feed-forward CNNs Thomas Irmer, Tobias Glasmachers, Subhransu Maji Paper-ID 175 Texture attribute synthesis and transfer using feed-forward CNNs Thomas Irmer, Tobias Glasmachers, Subhransu Maji

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Texture attribute synthesis and transfer using feed-forward CNNs

Thomas Irmer, Tobias Glasmachers, Subhransu Maji Paper-ID 175

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Texture attribute synthesis and transfer using feed-forward CNNs

Thomas Irmer, Tobias Glasmachers, Subhransu Maji Paper-ID 175

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Texture attribute synthesis

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"veined"

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Texture attribute transfer

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"veined"

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Method

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Apply texture features.
Preserve content features.

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Image transform network 𝒈t

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(residual) convolutions / deconvolution

Applies texture features through learned filters.

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Texture target network 𝜄

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Loss function

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Results - Texture Synthesis

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Results - Texture Transfer

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"knitted" 1920 x 1440 pixels

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Results - Texture Transfer

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"cracked"

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Results - Texture Transfer

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"fibrous"

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Results - Texture Transfer

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"scaly"

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Results - Texture Transfer

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"wrinkled"

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Texture attribute synthesis and transfer using feed-forward CNNs

Thomas Irmer, Tobias Glasmachers, Subhransu Maji

Thank you!

Paper-ID 175