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

Aug 21, 2022 •343 likes •505 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

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 Paper-ID 175
Texture attribute synthesis "veined" Paper-ID 175
Texture attribute transfer "veined" Paper-ID 175
Method ‣ Apply texture features . ‣ Preserve content features . Paper-ID 175
Image transform network 𝒈 t ‣ Applies texture features through learned filters. (residual) convolutions / deconvolution Paper-ID 175
Texture target network 𝜄 Paper-ID 175
Loss function Paper-ID 175
Results - Texture Synthesis Paper-ID 175
Results - Texture Transfer "knitted" 1920 x 1440 pixels Paper-ID 175
Results - Texture Transfer "cracked" Paper-ID 175
Results - Texture Transfer "fibrous" Paper-ID 175
Results - Texture Transfer "scaly" Paper-ID 175
Results - Texture Transfer "wrinkled" Paper-ID 175
Texture attribute synthesis and transfer using feed-forward CNNs Thomas Irmer, Tobias Glasmachers, Subhransu Maji Thank you! Paper-ID 175

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