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Image reconstruction in low-light conditions is a challenging problem. Manysolutions have been proposed for it, where the main approach is trying to learna good prior of natural images along with modeling the true statistics of thenoise in the scene. In the presence of very low lighting conditions, suchapproaches are usually not enough, and additional information is required,e.g., in the form of using multiple captures. In this work, we suggest as analternative to add a description of the scene as prior, which can be easilydone by the photographer who is capturing the scene. Using a text-conditioneddiffusion model, we show that adding image caption information improvessignificantly the image reconstruction in low-light conditions on bothsynthetic and real-world images.

Tell Me What You See: Text-Guided Real-World Image Denoising