LogicalDefender: Enhancing Image Generation with Logical Knowledge
Incorporating logical knowledge improves image generation models.
YOSO: One-Step Text-To-Image Synthesis with Self-Cooperative Diffusion GANs
YOSO introduces a novel generative model for high-quality one-step image synthesis by integrating diffusion process with GANs.
TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling
Developing a balance swap-sampling method for creative text pair-to-object generation.
DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image Creation
DiffChat enables interactive image creation by aligning Large Language Models with Text-to-Image Synthesis models through user-specified instructions.
Meissonic: A New Text-to-Image Synthesis Model Using Masked Image Modeling
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.
A Comparative Study of GAN-Based Text-to-Image Synthesis Methods
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.
© 2024 by Linnk AI