UFM: A Simple Path towards Unified Dense Correspondence with Flow

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Yuchen Zhang

UFM: A Simple Path towards Unified Dense Correspondence with Flow

UFM is a simple, end-to-end trained transformer model that directly regresses pixel displacement images (flow) & covisibility which can be applied to both optical flow and wide-baseline matching tasks with high accuracy and efficiency.

Perception, Learning, SLAM