A geometry-consistent pre-training paradigm using masked inlier reconstruction and a dual-stream encoder produces more robust and generalizable correspondence pruning for camera pose estimation and related 3D tasks.
Specialist diffusion: Plug-and-play sample-efficient fine-tuning of text-to-image diffusion models to learn any unseen style
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Scalable and Generalizable Correspondence Pruning via Geometry-Consistent Pre-training
A geometry-consistent pre-training paradigm using masked inlier reconstruction and a dual-stream encoder produces more robust and generalizable correspondence pruning for camera pose estimation and related 3D tasks.