[!NOTE] This repository has been merged into the repo awesome-personalization.

Survey papers and projects summarizing advances in Personalized Content Synthesis (PCS) with Diffusion Model. We have constructed a unified evaluation dataset and collected existing open-source methods for evaluation on this dataset.
To uniformly evaluate Personalized Content Synthesis (PCS) tasks, we introduces a comprehensive evaluation dataset designed for the most common personalized generation tasks, object and face personalization.
Download Link: PCS-dataset
82 commits
Python
76.1%
Jupyter Notebook
22.9%
Shell
1.1%
[!NOTE] This repository has been merged into the repo awesome-personalization.

Survey papers and projects summarizing advances in Personalized Content Synthesis (PCS) with Diffusion Model. We have constructed a unified evaluation dataset and collected existing open-source methods for evaluation on this dataset.
To uniformly evaluate Personalized Content Synthesis (PCS) tasks, we introduces a comprehensive evaluation dataset designed for the most common personalized generation tasks, object and face personalization.
Download Link: PCS-dataset
82 commits
Python
76.1%
Jupyter Notebook
22.9%
Shell
1.1%