2D-to-Stereo Panorama Conversion Using GAN and Concentric Mosaics

2D-to-Stereo Panorama Conversion Using GAN and Concentric Mosaics

Blog Article

We describe a learning-based technique to automatically convert a 2-D panorama to its stereoscopic version.In particular, we train a generative adversarial network Futon Mattress using perspective stereo pairs as inputs.Given a 2-D panorama, we partition it into overlapping local perspective views.To satisfy the panoramic stereo condition, we generate a sequence of left and right stereo view pairs and stitch them to produce concentric mosaics.

We also describe experiments on synthetic and Nightmare on Elm Street real datasets as well as comparisons with competing state-of-the-art techniques, which validate our technique.