Then we introduce a semantic mapper that produces the proxy masks from various input conditions including semantic masks.

In this work, we investigate the task of text-to-image (T2I) synthesis under the abstract-to-intricate setting, i.e., generating intricate visual content from simple

Unless stated otherwise we use American English for transcriptions.

The recent popularity of text-to-image diffusion models (DM) can largely be attributed to the intuitive interface they provide to users.

Achieving machine autonomy and human control often represent divergent objectives in the design of interactive AI systems.

The success of these fully deterministic models calls into question the community's understanding of diffusion models, which relies on noise in either gradient Langevin

Diffusion models are a new class of generative models, and have dramatically promoted image generation with unprecedented quality and diversity.