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Researchers have made significant advancements in text-to-image synthesis with the development of Kandinsky, an improved model that utilizes image prior and latent diffusion. The model achieved a state-of-the-art FID score of 8.03 on the COCO-30K dataset, making it the best open-source model available. Another study focused on aligning text-to-image diffusion models with reward backpropagation, which has emerged as a leading approach in image generation. Additionally, researchers from China have unveiled ImageReward, an AI approach that optimizes text-to-image models using human preference feedback. Another breakthrough comes from the development of Latent Consistency Models, which can synthesize high-resolution images with few-step inference and achieve state-of-the-art text-to-image generation performance. Lastly, researchers from Google and John Hopkins University have introduced a faster and more efficient distillation method for text-to-image generation, overcoming limitations of diffusion models.
Researchers from Google and John Hopkins University Reveal a Faster and More Efficient Distillation Method for Text-to-Image Generation: Overcoming Diffusion Model Limitations Quick Read: https://t.co/cMReNImUk3 Paper: https://t.co/tIo0ORyTuD… https://t.co/3jaoIveLiP https://t.co/2N61HbymFP
This AI Research Unveils ‘Kandinsky1’: A New Approach in Latent Diffusion Text-to-Image Generation with Outstanding FID Scores on COCO-30K Quick Read: https://t.co/uGVwu2eB3t Paper: https://t.co/FDcxFZ7A2W Github: https://t.co/iZDMRJGMJv If you like our work, you will love our… https://t.co/4bXG60fmJm https://t.co/tOb5QTZZ4t
Latent Consistency Models: Synthesizing High-Resolution Images with Few-step Inference Achieves SotA text-to-image generation performance with few-step inference proj: https://t.co/wxFNPRCixL abs: https://t.co/5WxPY3ZJfJ https://t.co/srMjQyHx2D
Researchers from China Unveil ImageReward: A Groundbreaking Artificial Intelligence Approach to Optimizing Text-to-Image Models Using Human Preference Feedback. #AI #TechAI #LearningAI #GenerativeAI #ArtificialInteligence #Feedback #Research https://t.co/c0E75G6mpz
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion GitHub: https://t.co/8UkluCQSDH abs: https://t.co/iXhzBdohQ2 FID score of 8.03 on the COCO-30K dataset, SOTA for open-source models. https://t.co/xpwugmGepM
Aligning Text-to-Image Diffusion Models with Reward Backpropagation paper page: https://t.co/3nDMO7GvRO Text-to-image diffusion models have recently emerged at the forefront of image generation, powered by very large-scale unsupervised or weakly supervised text-to-image… https://t.co/jOvbKNGJap https://t.co/rw2XGO502N
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion paper page: https://t.co/GBBsGYdymi Text-to-image generation is a significant domain in modern computer vision and has achieved substantial improvements through the evolution of generative… https://t.co/h4PFLfSYv4 https://t.co/ZZeigtwWWF
Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion GitHub: https://t.co/8UkluCQSDH abs: https://t.co/iXhzBdohQ2 FID score of 8.03 on the COCO-30K dataset, SOTA for open-source models. https://t.co/l2zoRKwnlo