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awesome-depth

A curated list of publication for depth estimation
https://github.com/scott89/awesome-depth

Last synced: 3 days ago
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  • 1. Monocular Depth (Fully Supervised)

    • 3
    • 1
    • 2
    • 5
    • 6
    • 7
    • 8
    • 9
    • 10
    • 13 - mcl/monocular-depth-estimation-using-relative-depth-maps)
    • 14 - bts/bts)
    • 15
    • 16 - CLSTM)
    • 4
    • 14 - bts/bts)
    • 15
    • 16 - CLSTM)
    • 3
  • 2. Monocular Depth (Semi- / Un-Supervised)

    • 2.1 Stereo Consistency

      • 1
      • 3
      • 4
      • 2
      • 5
      • 6
      • 7 - Tensorflow)
      • 8 - research/google-research/tree/master/dual_pixels)
      • 9
      • 7 - Tensorflow)
      • 8 - research/google-research/tree/master/dual_pixels)
    • 2.2 Multi View

      • 3
      • 4
      • 5
      • Web
      • 10
      • 1
      • 2
      • PDF
      • 8
      • 9 - SfMLearner-Release)
      • 11 - vl/DeepV2D)
      • 12 - ML/packnet-sfm)
      • 13
      • 14 - SfMLearner-Release)
      • 9 - SfMLearner-Release)
      • 12 - ML/packnet-sfm)
  • 0. Survey

  • 3. Depth Completion/Super-resolution

    • 2.2 Multi View

  • 4. Depth Fusion

    • 2.2 Multi View

  • 5. Depth Dataset

    • 2.2 Multi View

  • 6. 3D Photography

    • 2.2 Multi View

  • 8. Optical Flow & Scene Flow