IMAGE EXTENSION NEURAL NETWORKS

IMAGE EXTENSION NEURAL NETWORKS

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neura...

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Bibliographische Detailangaben
Hauptverfasser: SAYAG, Raanan, GONG, Haifeng, WANG, Jingbin, TONG, Wenchao, KRISHNAN, Dilip, MASCHINOT, Aaron, SARNA, Aaron, TALEBI, Hossein, BONNEVIE, Mikael Pierre, TETERWAK, Piotr, BI, Shuchao, KRAININ, Michael Spencer, LIU, Ce
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Beschreibung
Zusammenfassung:Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neural network parameters. The generative neural network processes the input in accordance with trained values of the plurality of generative neural network parameters to generate an extended image. The extended image has (i) more rows, more columns, or both than the provided image, and (ii) is predicted to be a realistic extension of the provided image. The generative neural network is trained using an adversarial loss objective function.