TL;DR
dualFace is a two-stage portrait drawing interface that guides users globally with contour suggestions and locally with detailed synthesis, improving the quality of freehand face sketches for users of varying skill levels.
Contribution
It introduces a novel two-stage guidance system combining image retrieval and deep generative models to assist in freehand portrait sketching.
Findings
Significantly improves sketch detail quality
Helps users with different skill levels
Validated through user study
Abstract
In this paper, we propose dualFace, a portrait drawing interface to assist users with different levels of drawing skills to complete recognizable and authentic face sketches. dualFace consists of two-stage drawing assistance to provide global and local visual guidance: global guidance, which helps users draw contour lines of portraits (i.e., geometric structure), and local guidance, which helps users draws details of facial parts (which conform to user-drawn contour lines), inspired by traditional artist workflows in portrait drawing. In the stage of global guidance, the user draws several contour lines, and dualFace then searches several relevant images from an internal database and displays the suggested face contour lines over the background of the canvas. In the stage of local guidance, we synthesize detailed portrait images with a deep generative model from user-drawn contour…
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