High Quality Image

High-quality image generation and manipulation are central research areas, focusing on creating and editing images with superior visual fidelity and realism. Current efforts utilize various deep learning architectures, including diffusion models, GANs, VAEs, and transformers, often incorporating techniques like fine-tuning, consistency distillation, and latent space manipulation to achieve efficient and high-quality results across diverse tasks such as image generation, editing, inpainting, and super-resolution. This research significantly impacts fields like art, design, and healthcare, enabling new creative tools and improving the quality of visual data in various applications.