Multi-agent photograph generation

A system for generating at least one standardized vehicle image, comprising:

• at least one processor executing a code for:
• feeding at least one unconstrained input image including a specific physical vehicle into an inspection AI-agent;
• generating, by the inspection AI-agent, a set of generation reference data,
• wherein the set of generation reference data includes a plurality of vehicle parts and, for each vehicle part, at least one visual feature;
• feeding the at least one unconstrained input image and the set of generation reference data into a generation AI-agent for generating at least one candidate standardized image,
• wherein the at least one candidate standardized image renders the specific physical vehicle according to at least one standardized parameter;
• performing, in a plurality of iterations:
• feeding the at least one candidate standardized image into the inspection AI-agent;
• evaluating, by the inspection AI-agent, the at least one candidate standardized image in view of the at least one unconstrained input image for detecting visual inconsistencies;
• adapting the set of generation reference data for correcting the detected visual inconsistencies;
• feeding the adapted set of generation reference data into the generation AI-agent to obtain an adaptation of the at least one candidate standardized image,
• wherein the adaptation of the at least one candidate standardized image is fed into the inspection AI-agent in a subsequent iteration,
• wherein the plurality of iterations are terminated when the detected inconsistencies meet a requirement denoting visually insignificant differences that preserve visual identity of the specific physical vehicle included in the at least one unconstrained input image;
• and
• providing the adaptation of the at least one candidate standardized image of the terminated iteration as at least one target standardized image.

A non-transitory medium storing program instructions for generating at least one standardized vehicle image, which when executed by at least one processor of a first proxy device, cause the at least one processor to:

• feed at least one unconstrained input image and the set of generation reference data into a generation AI-agent for generating at least one candidate standardized image,
• wherein the at least one candidate standardized image renders the specific physical vehicle according to at least one standardized parameter;
• performing, in a plurality of iterations:
• feeding the at least one candidate standardized image into an inspection AI-agent;
• evaluate, by the inspection AI-agent, the at least one candidate standardized image in view of the at least one unconstrained input image for detecting visual inconsistencies;
• adapt the set of generation reference data for correcting the detected visual inconsistencies;
• feed the adapted set of generation reference data into the generation AI-agent to obtain an adaptation of the at least one candidate standardized image,
• wherein the adaptation of the at least one candidate standardized image is fed into the inspection AI-agent in a subsequent iteration,
• wherein the plurality of iterations are terminated when the detected inconsistencies meet a requirement denoting visually insignificant differences that preserve visual identity of the specific physical vehicle included in the at least one unconstrained input image;
• and
• provide the adaptation of the at least one candidate standardized image of the terminated iteration as at least one target standardized image.