Showing 2 open source projects for "visual effects"

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    DensePose

    DensePose

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

    ...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. The model architecture builds on Mask R-CNN, using additional regression heads to predict UV coordinates that map image pixels to 3D surfaces.
    Downloads: 16 This Week
    Last Update:
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  • 2
    Butteraugli

    Butteraugli

    Estimates the psychovisual difference between two images

    butteraugli is a perceptual similarity metric designed to estimate how noticeable differences between two images will be to the human eye. Instead of simple pixel math, it models aspects of human vision—color sensitivity, spatial masking, and contrast perception—to highlight differences that viewers actually see. The core tool outputs a single “distance” score along with per-pixel or per-region maps that show where artifacts are most objectionable. These maps make it practical to tune...
    Downloads: 2 This Week
    Last Update:
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