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By combining feed-forward 3D reconstruction with a geometry-aware diffusion model, Leveling3D fills in the gaps in extrapolated novel views, leveling up both 3D reconstruction and generation.
Achieve SOTA extrapolated-view LiDAR synthesis by fusing multi-frame LiDAR data and spatially-constrained dropout regularization, enabling robust autonomous driving simulation without multi-pass data.
FetalAgents leapfrogs existing fetal ultrasound analysis tools by dynamically orchestrating specialized AI agents, outperforming monolithic models across diverse clinical tasks and delivering structured clinical reports from video streams.
Diffusion models can fill the depth-sensing void in endoscopies, turning unreliable sparse data into robust 3D reconstructions.
