Image generation (synthesis) is the task of generating new images from an existing dataset.

• Unconditional generation refers to generating samples unconditionally from the dataset, i.e. $p\left(y\right)$
• Conditional image generation (subtask) refers to generating samples conditionally from the dataset, based on a label, i.e. $p\left(y|x\right)$.

In this section, you can find state-of-the-art leaderboards for unconditional generation. For conditional generation, and other types of image generations, refer to the subtasks.