Omnidirectional Image

Omnidirectional images (ODIs), capturing a 360-degree field of view, are increasingly important for applications like virtual reality and robotics. Current research focuses on overcoming challenges posed by the inherent distortions of these images, employing techniques like generative adversarial networks (GANs), transformers, and Siamese neural networks to improve image synthesis, super-resolution, depth estimation, and quality assessment. These advancements are crucial for enhancing the realism and usability of ODI-based systems, impacting fields ranging from immersive media to autonomous navigation.