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    Fully Managed MySQL, PostgreSQL, and SQL Server

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    MongoDB Atlas runs apps anywhere

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    DensePose

    DensePose

    A real-time approach for mapping all human pixels of 2D RGB images

    DensePose is a computer vision system that maps all human pixels in an RGB image to the 3D surface of a human body model. It extends human pose estimation from predicting joint keypoints to providing dense correspondences between 2D images and a canonical 3D mesh (such as the SMPL model). This enables detailed understanding of human shape, motion, and surface appearance directly from images or videos. The repository includes the DensePose network architecture, training code, pretrained models, and dataset tools for annotation and visualization. DensePose is widely used in augmented reality, motion capture, virtual try-on, and visual effects applications because it enables real-time 3D human mapping from 2D inputs. ...
    Downloads: 16 This Week
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  • 2
    DeepSDF

    DeepSDF

    Learning Continuous Signed Distance Functions for Shape Representation

    ...Unlike traditional discrete voxel grids or meshes, DeepSDF encodes shapes as continuous neural representations that can be smoothly interpolated and used for reconstruction, generation, and analysis. The repository provides complete tooling for preprocessing mesh datasets (e.g., ShapeNet), training DeepSDF models, reconstructing meshes from learned latent codes, and quantitatively evaluating results with metrics such as Chamfer Distance and Earth Mover’s Distance.
    Downloads: 2 This Week
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