Personalized Image Generation

3 benchmarks58 papers

Utilizes single or multiple images that contain the same subject or style, along with text prompt, to generate images that contain that subject as well as match the textual description. Includes finetuning-based methods (e.g. DreamBooth, Textual Inversion) as well as encoder-based methods (e.g. E4T, ELITE, and IP-Adapter, etc.).

Benchmarks

Personalized Image Generation on DreamBooth

Overall (CP * PF)Concept Preservation (CP)Prompt Following (PF)