SketchyDepth: From Scene Sketches to RGB-D Images

Gianluca Berardi, Samuele Salti, Luigi Di Stefano; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops, 2021, pp. 2414-2423


Sketch-based content generation is a creative and fun activity suited to casual and professional users that has many different applications. Today it is possible to generate the geometry and appearance of a single object by sketching it. Yet, only the appearance can be synthesized from a sketch of a whole scene. In this paper we propose the first method to generate both the depth map and image of a whole scene from a sketch. We demonstrate how generating geometrical information as a depth map is beneficial from a twofold perspective. On one hand, it improves the quality of the image synthesized from the sketch. On the other, it unlocks depth-enabled creative effects like Bokeh, fog, light variation, 3D photos and many others, which help enhancing the final output in a controlled way. We validate our method showing how generating depth maps directly from sketches produces better qualitative results with respect to alternative methods, i.e. running MiDaS after image generation. Finally we introduce depth sketching, a depth manipulation technique to further condition image generation without the need of additional annotation or training.

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@InProceedings{Berardi_2021_ICCV, author = {Berardi, Gianluca and Salti, Samuele and Di Stefano, Luigi}, title = {SketchyDepth: From Scene Sketches to RGB-D Images}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2414-2423} }