The image above shows the visualization of data distribution. (a) Images comparison between DreamBench and DreamBench++ using t-SNE. (b) Image and prompt distribution of DreamBench++.
DreamBench++ contains three categories: live subject (animals and humans), object, and style, with a total of 150 images. Among them, 120 images are photorealistic and 30 are non-photorealistic. Each image has 9 corresponding prompts, each with varying levels of difficulty, including 4 prompts for photorealistic… See the full description on the dataset page:
https://huggingface.co/datasets/yuangpeng/dreambench_plus.
