Computing photorealistic versions of synthetic images

A computer-implemented method comprising:

• storing, at a memory, a region of interest of a synthetic image depicting an object from a class of objects;
• accessing a trained neural image generator having been trained to map embeddings from a multi-dimensional latent space to photorealistic images of objects in the class;
• computing a first embedding from the latent space, the first embedding corresponding to the region of interest;
• computing a second embedding from the latent space, the second embedding corresponding to the synthetic image;
• blending the first embedding and the second embedding to form a blended embedding;
• and
• generating at least one output image from the blended embedding.

One or more device-readable media with device-executable instructions that, when executed by a computing system, direct the computing system to perform operations comprising:

• storing, at a memory, a region of interest of a synthetic image depicting an object from a class of objects;
• accessing a trained neural image generator having been trained to map embeddings from a multi-dimensional latent space to photorealistic images of objects in the class;
• computing a first embedding from the latent space, the first embedding corresponding to the region of interest;
• computing a second embedding from the latent space, the second embedding corresponding to the synthetic image;
• blending the first embedding and the second embedding to form a blended embedding;
• and
• generating at least one output image from the blended embedding.