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Video diffusion models hallucinate rich scene completions but inevitably drift; anchoring their appearance priors directly inside a 3D geometric latent space eliminates sequential inconsistency and slashes trajectory error by 32%.
Ditching brittle hand-estimator-plus-SLAM cascades for an end-to-end streaming memory network slashes world-space hand tracking error by 21.4% while doubling inference throughput.
Underwater reconstruction just got a major upgrade, with AquaFlow slashing localization error by over 13% while enhancing image quality.
Monocular SLAM gets a serious upgrade: M^3 slashes pose estimation error by 64% by fusing multi-view foundation models with dense matching.
