
Introducing an additional mask prompt to better model the relationship between foreground and background, enabling the diffusion model to generate higher-quality and more controllable images that maintain higher fidelity to the reference image.


coremsg

mask-controlnet-enhancing-text-to-image-generation-with-mask-prompts-for-higher-quality-and-controllable-image-synthesis


Mask-ControlNet: Enhancing Text-to-Image Generation with Mask Prompts for Higher-Quality and Controllable Image Synthesis


title_rewrite


Visual Autoregressive (VAR) modeling redefines autoregressive learning on images as a coarse-to-fine "next-scale prediction" strategy, which allows autoregressive transformers to learn visual distributions fast and generalize well, surpassing diffusion models in image synthesis.


visual-autoregressive-modeling-a-scalable-and-efficient-approach-to-image-generation


Visual Autoregressive Modeling: A Scalable and Efficient Approach to Image Generation
