360 and Panoramic Image Generation

A 360-degree panorama is a picture of every direction as seen from one point. It is usually stored in equirectangular projection. That is a rectangle with a 2:1 aspect ratio: the horizontal axis covers 360 degrees of longitude and the vertical axis covers 180 degrees of latitude, like a flat world map. Viewer software wraps the rectangle back onto a sphere around the camera. This format causes two problems that ordinary image models are not trained to handle. The first is the seam. The left and right edges of the rectangle are the same place in the world, so the content has to continue perfectly across them. A normal generator treats the two edges as unrelated borders, and when the panorama is wrapped, a vertical line shows where they meet. The second problem is distortion. Near the top and bottom rows, a tiny area around each pole is stretched across the full width of the image. Straight lines curve there, and objects near the sky or floor smear or pinch. If a model paints what looks like a normal ceiling in that region, it turns into a warped mess once projected onto the sphere. Dedicated tools, such as Blockade Labs' Skybox AI, and custom workflows built on open models tackle both problems. They fine-tune models on real equirectangular images and use generation tricks that make the image wrap around horizontally. Results still often need upscaling and manual touch-ups at the poles. A common misconception is that a 360 image is a 3D world. It is not. It captures one viewpoint, so there is no parallax when you move your head and you cannot walk through it. In VR, panoramas therefore work best as distant backgrounds or for seated experiences. Another misconception is that any very wide image is a panorama. A wide landscape crop will not wrap correctly unless it was made to connect edge to edge.