Google Inc.

Noha Radwan

Jonathan Tilton Barron

Alexey Dosovitskiy

Seyed Mohammad Mehdi Sajjadi

Ricardo Martin-Brualla

Daniel Christopher Duckworth

Provided are systems and methods for synthesizing novel views of complex scenes (e.g., outdoor scenes). In some implementations, the systems and methods can include or use machine-learned models that are capable of learning from unstructured and/or unconstrained collections of imagery such as, for example, 'in the wild' photographs. In particular, example implementations of the present disclosure can learn a volumetric scene density and radiance represented by a machine-learned model such as one or more multilayer perceptrons (MLPs).

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Zurich, Switzerland

Noha Radwan