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arXiv · 2108.07353

Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch

Leo Sampaio Ferraz Ribeiro·Tu Bui·John Collomosse·Moacir Ponti
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Abstract

Scene Designer is a novel method for searching and generating images using free-hand sketches of scene compositions; i.e. drawings that describe both the appearance and relative positions of objects. Our core contribution is a single unified model to learn both a cross-modal search embedding for matching sketched compositions to images, and an object embedding for layout synthesis. We show that a graph neural network (GNN) followed by Transformer under our novel contrastive learning setting is required to allow learning correlations between object type, appearance and arrangement, driving a mask generation module that synthesises coherent scene layouts, whilst also delivering state of the art sketch based visual search of scenes.

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Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, Moacir Ponti. 2021-08-16. Scene Designer: a Unified Model for Scene Search and Synthesis from Sketch. https://arxiv.org/abs/2108.07353

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