Image Token

Image tokenization is a crucial technique in computer vision, aiming to efficiently represent images as sequences of discrete tokens for processing by deep learning models, particularly transformers. Current research focuses on optimizing tokenization methods for various tasks, including image generation, multimodal understanding, and efficient high-resolution processing, exploring approaches like Byte-Pair Encoding, folded tokens, and dynamic token selection to balance computational cost and performance. These advancements are significantly impacting the efficiency and capabilities of vision-language models and generative models, leading to improved performance in tasks such as image classification, object detection, and text-to-image synthesis.