GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

Understand

Deep generative models allow for photorealistic image synthesis at high resolutions.

• But for many applications, this is not enough: content creation also needs to be controllable.
• While several recent works investigate how to disentangle underlying factors of variation in the data, most of them operate in 2D and hence ignore that our world is three-dimensional.
• Further, only few works consider the compositional nature of scenes.