Mask Generation

Mask generation is a rapidly evolving field focused on creating high-quality masks for diverse applications, ranging from image editing and generation to medical image analysis and privacy protection. Current research emphasizes developing efficient and accurate mask generation methods, often employing transformer-based architectures, diffusion models, or hybrid approaches that combine handcrafted rules with deep learning. These advancements are significantly impacting various domains, improving the efficiency and accuracy of image manipulation, medical image segmentation, and data privacy techniques.