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An omni-directional image (ODI) is the image that has a field of viewcovering the entire sphere around the camera. The ODIs have begun to be used ina wide range of fields such as virtual reality (VR), robotics, and socialnetwork services. Although the contents using ODI have increased, the availableimages and videos are still limited, compared with widespread snapshot images.A large number of ODIs are desired not only for the VR contents, but also fortraining deep learning models for ODI. For these purposes, a novel computervision task to generate ODI from a single snapshot image is proposed in thispaper. To tackle this problem, the conditional generative adversarial networkwas applied in combination with class-conditioned convolution layers. With thisnovel task, VR images and videos will be easily created even with a smartphonecamera.

Omni-Directional Image Generation from Single Snapshot Image