MarrNet: 3D Shape Reconstruction via 2.5D Sketches

Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, Bill Freeman, Josh Tenenbaum

Nov-21-2025, 12:21:41 GMT–Neural Information Processing Systems

Our disentangled, two-step formulation has three advantages. First, compared to full 3D shape, 2.5D sketches are much easier to be recovered from a 2D image; models that recover 2.5D sketches are also

artificial intelligence, machine learning, reconstruction, (18 more...)

Neural Information Processing Systems

Nov-21-2025, 12:21:41 GMT

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Country:
- North America > United States
  - California > Los Angeles County > Long Beach (0.04)
- Asia
  - Myanmar > Tanintharyi Region
    - Dawei (0.04)
  - Japan > Honshū
    - Chūbu > Ishikawa Prefecture > Kanazawa (0.04)
  - China > Shanghai
    - Shanghai (0.04)

Genre:
- Research Report (0.68)

Technology:
- Information Technology > Artificial Intelligence
  - Vision (1.00)
  - Machine Learning (1.00)

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MarrNet: 3D Shape Reconstruction via 2.5D Sketches
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