Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration

Understand

In this paper, we address the problem of conditional scene decoration for 360-degree images.

• Our method takes a 360-degree background photograph of an indoor scene and generates decorated images of the same scene in the panorama view.
• To do this, we develop a 360-aware object layout generator that learns latent object vectors in the 360-degree view to enable a variety of furniture arrangements for an input 360-degree background image.
• We use this object layout to condition a generative adversarial network to synthesize images of an input scene.