OnlineX: Unified Online 3D Reconstruction and Understanding with Active-to-Stable State Evolution

OnlineX is a new feed-forward framework for online 3D reconstruction and understanding that addresses cumulative drift issues by decoupling memory states into active and stable components, enabling continuous and accurate scene reconstruction in real-time. This advancement is crucial for applications like robotics and VR/AR, offering content creators the ability to generate high-quality 3D reconstructions from streaming images with enhanced fidelity and stability.

Read the full article at arXiv cs.CV (Vision)

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