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anhttran/3dmm_cnn

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0 stars·0 forks·10 views

3dmm Cnn

Features

  • Faces: - Listed in the “Faces:” section of the Curated List Of Awesome 3D Morphable Model Software And Data awesome list.

Star history

Star history chart for anhttran/3dmm_cnnStar history chart for anhttran/3dmm_cnn

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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Frequently asked questions

What are the main features of anhttran/3dmm_cnn?

The main features of anhttran/3dmm_cnn are: Faces:.

Which projects share features with anhttran/3dmm_cnn?

Projects with overlapping indexed features include: anhttran/3dmm_basic. anhttran/extreme_3d_faces. anilbas/3dmmasstn. apchenstu/facial_details_synthesis. choyingw/synergynet. aaronjackson/vrn — vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from…

Projects sharing features with 3dmm Cnn

These projects share indexed features with 3dmm Cnn. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • anhttran/3dmm_basicA

    anhttran/3dmm_basic

    0View on GitHub↗
    View on GitHub↗0
  • anhttran/extreme_3d_facesA

    anhttran/extreme_3d_faces

    0View on GitHub↗
    View on GitHub↗0
  • anilbas/3dmmasstnA

    anilbas/3DMMasSTN

    0View on GitHub↗
    View on GitHub↗0
  • aaronjackson/vrnAaronJackson avatar

    AaronJackson/vrn

    4,515View on GitHub↗

    vrn is a 3D face reconstruction tool that generates three-dimensional volumetric representations of human faces from single two-dimensional images. It utilizes a volumetric convolutional neural network regression model to predict 3D volume data directly from image pixels. The system converts these volumetric predictions into 3D meshes through isosurface extraction and vertex coloring. It further applies realistic surface details by mapping two-dimensional image pixels onto the resulting 3D mesh using nearest-neighbor texture projection. The project provides capabilities for single-image dept

    MATLAB
    View on GitHub↗4,515
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