Shypd.aiThe largest open index of AI toolsMapAnything is an open-source research framework for universal metric 3D reconstruction. It uses a simple, end-to-end trained transformer model to directly regress factored metric 3D geometry from various inputs.
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MapAnything is an open-source research framework developed by Facebook Research for universal metric 3D reconstruction. It features a simple, end-to-end trained transformer model that directly regresses factored metric 3D geometry from diverse inputs such as images, calibration data, poses, or depth information. This single feed-forward model supports over 12 different 3D reconstruction tasks, including multi-image SFM, multi-view stereo, monocular metric depth estimation, and depth completion. The framework provides a complete stack for data processing, training, inference, and profiling, with a modular design that allows various 3D reconstruction models to be used interchangeably through a unified interface. It is ideal for researchers and developers working on advanced computer vision and 3D modeling applications.
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