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mjiUST/SurfaceNet

0
View on GitHub↗
0 stars·0 forks·11 views

SurfaceNet

Features

  • Machine Learning MVS - End-to-end volumetric reconstruction using deep neural networks.

Star history

Star history chart for mjiust/surfacenetStar history chart for mjiust/surfacenet

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with SurfaceNet

These projects share indexed features with SurfaceNet. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • autonomousvision/unisurfA

    autonomousvision/unisurf

    0View on GitHub↗
    View on GitHub↗0
  • jzbontar/mc-cnnjzbontar avatar

    jzbontar/mc-cnn

    726View on GitHub↗

    Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches

    Cuda
    View on GitHub↗726
  • phuang17/deepmvsphuang17 avatar

    phuang17/DeepMVS

    354View on GitHub↗

    DeepMVS is a Deep Convolutional Neural Network which learns to estimate pixel-wise disparity maps from a sequence of an arbitrary number of unordered images with the camera poses already known or estimated.

    Python
    View on GitHub↗354

Frequently asked questions

What are the main features of mjiust/surfacenet?

The main features of mjiust/surfacenet are: Machine Learning MVS.

Which projects share features with mjiust/surfacenet?

Projects with overlapping indexed features include: autonomousvision/unisurf. jzbontar/mc-cnn — Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. phuang17/deepmvs — DeepMVS is a Deep Convolutional Neural Network which learns to estimate pixel-wise disparity maps from a sequence of…