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Quaternion-constrained flows yield more plausible 3D human poses from 2D images, outperforming traditional methods in ambiguous contexts.
LoMa shatters performance ceilings in local feature matching, achieving state-of-the-art results by scaling data, model size, and compute, proving that even well-trodden areas can yield surprising gains with modern techniques.
