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Multi-view Reconstruction via SfM-guided Monocular Depth Estimation Contributions: • We propose a novel approach to inject SfM priors into diffusion-based depth estimation, enabling highly accurate and multi-view consistent depth predictions for each viewpoint. • Based on the proposed depth estimator, we design a new multi-view 3D geometry reconstruction framework... show more

MrNeRF

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25,651 Aufrufe • vor 1 Jahr •via X (Twitter)

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MrNeRFvor 1 Jahr

Method overview!

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MrNeRFvor 1 Jahr

Paper: Project: Code:

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BSHCvor 1 Jahr

High-performance wave basins, towing tanks, and cavitation tunnels at competitive prices deliver exceptional value and reliability. Our facilities enable detailed hydrodynamic testing and CFD analysis for accurate evaluation of floating structure designs.

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MrNeRFvor 1 Jahr

I'm crafting an email newsletter that turns my daily updates into a captivating weekly digest, complete with exclusive content. Although it's not live yet, you can sign up now! If you're curious, visit my website and join the subscriber list today!

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Securade.aivor 1 Jahr

this is really impressive work on multi-view reconstruction! the use of SfM priors to guide diffusion-based depth estimation seems like a smart way to improve accuracy and consistency. i'll definitely check out the paper and code.

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[1/N] Current visual geometry prediction models primarily rely on labeled 3D data. Our CVPR26 paper, Flow3r, allows additionally leveraging unlabeled videos (using flow supervision) for scalable visual geometry learning, enabling accurate multi-view 3D reconstruction in-the-wild.

[1/N] Current visual geometry prediction models primarily rely on labeled 3D data. Our CVPR26 paper, Flow3r, allows additionally leveraging unlabeled videos (using flow supervision) for scalable visual geometry learning, enabling accurate multi-view 3D reconstruction in-the-wild.

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