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Probably closely related to the problem of interest would be something akin Neural Radiance Fields (NeRF for short) https://www.matthewtancik.com/nerf. The model takes several images from different angles and view of the scene and learns a 3d representation of the scene, that can be used to sample novel views of this scene (not present in the training data). ...


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From the theoretical foundations one can look into the Chapter 20: Deep Generative Models of the classic DL book by Goodfellow, Bengio https://amzn.to/2MmZNbH. Not the most recent reference, but written by the professionals in simple and accessible way. There is a nice book Generative Deep Learning by D.Foster with some simple heuristics and probability ...


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