Panorama Generation

Panorama generation focuses on creating complete, high-resolution 360° images from various inputs, aiming for seamless transitions and realistic detail. Current research emphasizes methods leveraging diffusion models, often incorporating techniques like Gaussian splatting and transformer architectures, to achieve high-quality results from single images, sparse image collections, or text prompts, addressing challenges like boundary continuity and geometric consistency. This field is significant for applications in virtual and augmented reality, computer graphics, and robotics, offering advancements in immersive experiences and efficient scene representation.