  Type "a sea otter with a pearl earring by Johannes Vermeer" or "a photo of a
teddy bear on a skateboard in Times Square" into OpenAI's DALL-E-2
paint-by-text synthesis engine and you will not be disappointed by the
delightful and eerily pertinent results. The ability to synthesize highly
realistic images -- with seemingly no limitation other than our imagination --
is sure to yield many exciting and creative applications. These images are also
likely to pose new challenges to the photo-forensic community. Motivated by the
fact that paint by text is not based on explicit geometric modeling, and the
human visual system's often obliviousness to even glaring geometric
inconsistencies, we provide an initial exploration of the perspective
consistency of DALL-E-2 synthesized images to determine if geometric-based
forensic analyses will prove fruitful in detecting this new breed of synthetic
media.
