Realistic full-body avatars play a key role in representing users in virtual environments, where they have been shown to considerably improve body ownership and presence. Driven by the growing demand for realistic virtual humans, extensive research on scanning-based avatar reconstruction has been conducted in recent years. Most methods, however, require complex hardware, such as expensive camera rigs and/or controlled capture setups, thereby restricting avatar generation to specialized labs. We propose WILDAVATARS, an approach that empowers even non-experts without access to complex equipment to capture realistic avatars in the wild. Our avatar generation is based on an easy-to-use smartphone application that guides the user through the scanning process and uploads the captured data to a server, which in a fully automatic manner reconstructs a photorealistic avatar that is ready to be downloaded into a VR application. To increase the availability and foster the use of realistic virtual humans in VR applications we will make WILDAVATARS publicly available for research purposes.