  Current methods for body shape estimation either lack detail or require many
images. They are usually architecturally complex and computationally expensive.
We propose FACSIMILE (FAX), a method that estimates a detailed body from a
single photo, lowering the bar for creating virtual representations of humans.
Our approach is easy to implement and fast to execute, making it easily
deployable. FAX uses an image-translation network which recovers geometry at
the original resolution of the image. Counterintuitively, the main loss which
drives FAX is on per-pixel surface normals instead of per-pixel depth, making
it possible to estimate detailed body geometry without any depth supervision.
We evaluate our approach both qualitatively and quantitatively, and compare
with a state-of-the-art method.
