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Are camera poses necessary for multi-view 3D modeling? Existing approaches predominantly assume access to accurate camera poses.
Multiple view geometry in computer vision
Andrew Zisserman · 2001
Earlier work this paper cites.
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Plenoxels: Radiance fields without neural networks
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