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 Car Seat Cover a generative adversarial network 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 Bike Parts - Pedals - Parts stereo view pairs and stitch them to produce concentric mosaics.We also describe experiments on synthetic and real datasets as well as comparisons with competing state-of-the-art techniques, which validate our technique.