Colorization Task

Image colorization, the process of adding color to grayscale images or videos, is a vibrant area of research aiming to produce visually appealing and semantically accurate results. Current efforts focus on improving color consistency across frames in videos, leveraging multiple color spaces for richer representations, and incorporating user control through text prompts or other interactive methods. Deep learning models, including transformers, recurrent neural networks, and diffusion models, are central to these advancements, with a growing emphasis on incorporating perceptual and aesthetic considerations into evaluation metrics. This field has significant implications for image restoration, historical preservation, and various computer vision applications.