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Eto: Efficient transformer-based local feature matching by organizing multiple homography hypotheses
We tackle the efficiency problem of learning local feature matching. Recent advancements
have given rise to purely CNN-based and transformer-based approaches, each augmented …
have given rise to purely CNN-based and transformer-based approaches, each augmented …
A Global Depth-Range-Free Multi-View Stereo Transformer Network with Pose Embedding
In this paper, we propose a novel multi-view stereo (MVS) framework that gets rid of the
depth range prior. Unlike recent prior-free MVS methods that work in a pair-wise manner …
depth range prior. Unlike recent prior-free MVS methods that work in a pair-wise manner …