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A research paper on bundle adjustment for any image set using multi-view matching and monocular priors, achieving state-of-the-art results in computer vision.
BA-T is an iterative Transformer architecture for two-view bundle adjustment that improves 3D reconstruction accuracy and cross-view consistency using a lightweight design with only 16% of conventional decoder parameters, matching or surpassing larger models.