Multiple Image

Multiple image processing focuses on analyzing and manipulating sets of images to achieve tasks beyond the capabilities of single-image analysis. Current research emphasizes developing models capable of robust reasoning and understanding across multiple images, often employing large language models (LLMs) combined with deep generative models or convolutional neural networks for tasks like image inpainting, steganography, and 3D avatar reconstruction. This field is crucial for advancing applications in diverse areas, including medical imaging, e-commerce, and automated infrastructure inspection, by enabling more sophisticated and accurate analysis of complex visual data.