Incorporating logical knowledge improves image generation models.
YOSO introduces a novel generative model for high-quality one-step image synthesis by integrating diffusion process with GANs.
Developing a balance swap-sampling method for creative text pair-to-object generation.
DiffChat enables interactive image creation by aligning Large Language Models with Text-to-Image Synthesis models through user-specified instructions.
Meissonic, a novel text-to-image synthesis model based on masked image modeling (MIM), achieves state-of-the-art performance in high-resolution image generation while maintaining efficiency and accessibility on consumer-grade GPUs.
Generative Adversarial Networks (GANs) are a promising approach for text-to-image synthesis, with AttnGAN emerging as a strong contender due to its use of attention mechanisms and superior performance in generating high-resolution, realistic images from text descriptions.