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Found 2 papers, 2 papers with code
Generating Non-Stationary Textures using Self-Rectification
This paper addresses the challenge of example-based non-stationary texture synthesis.
Neural Texture Synthesis With Guided Correspondence
More importantly, the Guided Correspondence loss can function as a general textural loss in, e. g., training generative networks for real-time controlled synthesis and inversion-based single-image editing.
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