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AI28 вересня 2024 р.5 min read

Оцінка глибини: Створення 3D-ефектів з 2D-фотографій

Ця стаття доступна англійською мовою. Інтерфейс перекладено на Українська.

AI depth estimation creates depth maps from single 2D images, enabling fascinating 3D effects and applications.

How Depth Estimation Works

Monocular depth estimation models learn to infer depth from visual cues:

  • Relative size: of known objects
  • Texture gradients: that indicate distance
  • Atmospheric perspective: (distant objects appear hazier)
  • Linear perspective: (parallel lines converging)
  • Occlusion: (which objects are in front of others)
  • Applications

    1. 3D photo effects: Ken Burns-style parallax animations

    2. Bokeh simulation: Realistic depth-of-field blur

    3. AR/VR content: Creating 3D scenes from photos

    4. Robotics: Spatial understanding for navigation

    Colormap Visualization

    Depth maps can be visualized using different colormaps:

  • Grayscale: Intuitive (lighter = closer)
  • Viridis: Perceptually uniform, colorblind-friendly
  • Plasma: High contrast, good for detail
  • Inferno: Heat-map style visualization
  • Generate depth maps from any image with our Depth Estimation tool.

    Depth maps pair nicely with background removal — try our Background Remover to isolate your subject before generating a depth map.

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