The Image Looks Good. But Whose Taste Is It?
TL;DR for operators A retailer can generate an attractive product image that has little connection to the customer viewing it. A creator can receive a polished illustration that looks unlike anything they would normally publish. In both cases, conventional image-quality scores may miss the personalization failure. Research on personalized image generation from user histories introduces two benchmarks and a system called Pearl that reasons over historical activity, generates an image, and inspects the result before revising its prompt.1 Pearl improves several offline personalization measures, but does not consistently produce the most aesthetically appealing or visually similar images. ...