We curate 62 scenarios encompassing these aspects and evaluate 26 state-of-the-art text-to-image models on this benchmark.

We curate 62 scenarios encompassing these aspects and evaluate 26 state-of-the-art text-to-image models on this benchmark.

"Rule-of-Thumb" generation, show that our method consistently exceeds previous

We list the filtering criteria in Tab. 1.

Sora's high-motion intensity and long consistent videos have significantly impacted

Subject-driven image generation is related to text-driven image editing but often needs to perform more sophisticated transformations to source images (e.g., rotating the view, zooming in/out, changing the pose of

Our model is built using the pre-trained Stable Diffusion model trained on web-scraped datasets. Proper content moderation and regulation are highly advised to prevent undesirable consequence. In Figure 1, we outline common failure cases of the model. Subject images used for finetuning are shown on the left. We briefly introduce these methods below.