AI Generates Real Faces From Sketches! DeepFaceDrawing Overview | Image-to-image translation in 2020
You can now generate high-quality face images from rough or even incomplete sketches with zero drawing skills using this new image-to-image translation technique! If your drawing skills as bad as mine you can even adjust how much the eyes, mouth, and nose will affect the final image! Let’s see if it really works and how they did it.
Recent deep image-to-image translation techniques allow fast generation of face images from freehand sketches. However, existing solutions tend to overfit to sketches, thus requiring professional consistent sketches as inputs. Shu-Yu Chen et al. just shared a paper called “DeepFaceDrawing: Deep Generation of Face Images from Sketches” to address this issue. Their key idea is to implicitly model the shape space of plausible face images and synthesize a face image in this space to approximate an input sketch. Their system allows users with little or no training in drawing to produce high-quality face images from rough or even incomplete freehand sketches! The method even faithfully respects user intentions in input strokes, which serve more like soft constraints to guide image synthesis. They essentially use input sketches as soft constraints and are thus able to produce high-quality face images even from these rough sketches.
