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A modular real-time diminished reality pipeline for indoor applications is presented. The pipeline includes a novel inpainting method which requires no prior information of the textures behind the object to be diminished. The inpainting method operates on rectified images and adapts to scene illumination. In typically challenging illumination situations, the method produces more realistic results...
We propose a novel framework for semantically enhancing a 3D indoor scene in agreement with a user-provided guide word. To do so, we make changes to furniture colors and place small objects in the scene. The relevance of specific furniture colors and small objects to each guide word is learned from a database of annotated images, taking into account both their frequency and specificity to that guide...
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