2013
ICCV
ICCV 2013
Example-Based Facade Texture Synthesis
Abstract
There is an increased interest in the efficient creation of city models, be it virtual or as-built. We present a method for synthesizing complex, photo-realistic facade images, from a single example. After parsing the example image into its semantic components, a tiling for it is generated. Novel tilings can then be created, yielding facade textures with different dimensions or with occluded parts inpainted. A genetic algorithm guides the novel facades as well as inpainted parts to be consistent with the example, both in terms of their overall structure and their detailed textures. Promising results for multiple standard datasets in particular for the different building styles they contain demonstrate the potential of the method.
🚀
Conference Pioneer
— ICCV 2013
🌉
Interdisciplinary Bridge
— Computer Science and Computer Vision
🧭
Keyword Pioneer
— photo-realistic rendering
🐣
Hot Topic Early Bird
— image inpainting
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio