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Supplementary Material.pdf

Wang_F2-NeRF_Fast_Neural_CVPR_2023_supplemental.pdf
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🔗 Source: openaccess.thecvf.com
📊 Size: 861 KB
📄 Pages: 6 pages
⬇️ Downloads: 210

Summary

F2-NeRF is a method for fast neural radiance field training with free camera trajectories. The supplementary material provides additional implementation details, including camera processing, construction of the matrix M for perspective warping, perspective sampling, loss functions, and more implementation details. The camera processing involves rectification and selection, where the camera view directions are rotated to look at the center of the region and the distances are aligned. The construction of M involves principal component analysis and scaling. The perspective sampling is done using uniform sampling on the warp space, and the loss functions include color reconstruction loss, disparity loss, and total variation loss. The implementation details include architecture details, such as using a hash table and tiny MLPs, and training details, such as using Adam optimizer and cosine scheduling.

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Description

F2-NeRF is a method for fast neural radiance field training with free camera trajectories.

Technical Information

  • File Format: PDF
  • File Size: 861 KB
  • Pages: 6
  • Language: EN
  • Total Downloads: 210
  • Last Updated: 1 day ago

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