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2024 | OriginalPaper | Buchkapitel

Color-Correlated Texture Synthesis for Hybrid Indoor Scenes

verfasst von : Yu He, Yi-Han Jin, Ying-Tian Liu, Bao-Li Lu, Ge Yu

Erschienen in: Computer-Aided Design and Computer Graphics

Verlag: Springer Nature Singapore

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Abstract

We introduce an automated pipeline for synthesizing texture maps in complex indoor scenes. With a style sample or color palette as inputs, our pipeline predicts theme color for each room using a GAN-based method, before generating texture maps using combinatorial optimization. We consider constraints on material selection, color correlation, and color palette matching. Our experiments show the pipeline’s ability to produce pleasing and harmonious textures for diverse layouts and our contribution of an interior furniture texture dataset with 4,337 texture images.

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Metadaten
Titel
Color-Correlated Texture Synthesis for Hybrid Indoor Scenes
verfasst von
Yu He
Yi-Han Jin
Ying-Tian Liu
Bao-Li Lu
Ge Yu
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-9666-7_14

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