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Achieving the best performance in 3D city asset generation, Sat2City v2 transforms satellite images into detailed, textured meshes, setting a new standard for urban simulation and geospatial intelligence.
GraspFoM reveals that leveraging 3D object priors can dramatically enhance both grasping accuracy and 3D reconstruction fidelity with minimal overhead.
Event cameras can now estimate depth with significantly improved temporal consistency and accuracy thanks to a novel distillation approach from video foundation models, achieving a 53% reduction in depth error.
