A GAN-based super-resolution method for omnidirectional images, using a PatchGAN discriminator and a 360-SS loss, improves spherical quality metrics over SRGAN and bicubic.
Plenoptic based super-resolution for omnidirectional image sequences,
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Super-resolution of Omnidirectional Images Using Adversarial Learning
A GAN-based super-resolution method for omnidirectional images, using a PatchGAN discriminator and a 360-SS loss, improves spherical quality metrics over SRGAN and bicubic.