📚 OpenAI Researchers Pioneer Advanced Consistency Models for High-Quality Data Sampling Without Adversarial Training

Consistency models represent a category of generative models designed to generate high-quality data in a single step without relying on adversarial training. These models attain optimal sample quality by learning from pre-trained diffusion models and utilizing metrics like LPIPS (learning Perceptual Image Patch Similarity). The quality of consistency models is limited to the pre-trained diffusion […]

The post OpenAI Researchers Pioneer Advanced Consistency Models for High-Quality Data Sampling Without Adversarial Training appeared first on MarkTechPost.