Efficient Image

Efficient image processing research focuses on developing faster and more resource-friendly algorithms for various image-related tasks, including generation, editing, deblurring, and anomaly detection. Current efforts leverage architectures like diffusion models, transformers, and generative adversarial networks (GANs), often incorporating techniques like selective state space models and efficient masking strategies to reduce computational complexity while maintaining or improving performance. These advancements are crucial for enabling real-time applications in diverse fields, such as animation, product design, and medical imaging, where speed and efficiency are paramount. The ultimate goal is to make powerful image processing techniques accessible even with limited computational resources.