Canonical Image
A canonical image represents a standardized or normalized version of an input image, aiming to reduce variations caused by factors like viewpoint, lighting, or sensor distortions. Current research focuses on developing algorithms and models, including those based on diffusion priors, to generate these canonical representations for various applications such as video editing, object detection, and underwater imaging. This work is significant because canonical images improve the robustness and accuracy of downstream tasks by mitigating the effects of irrelevant image variations, leading to more reliable and efficient computer vision systems.
Papers
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