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facebookresearch/DONERFArchived

0
View on GitHub↗
312 stars·43 forks·Python·8 views

DONERF

Code for "DONeRF Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks"

Features

  • Efficient Rendering - Employs depth oracle networks for real-time rendering.

Star history

Star history chart for facebookresearch/donerfStar history chart for facebookresearch/donerf

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 DONERF

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

    creiser/kilonerf

    492View on GitHub↗

    Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

    Cuda
    View on GitHub↗492
  • facebookresearch/nsvffacebookresearch avatar

    facebookresearch/NSVF

    818View on GitHub↗

    Open source code for the paper of Neural Sparse Voxel Fields.

    Python
    View on GitHub↗818
  • heng14/dylinHeng14 avatar

    Heng14/DyLiN

    22View on GitHub↗

    Source code for CVPR 2023 DyLiN paper

    Python
    View on GitHub↗22
  • computational-imaging/automatic-integrationcomputational-imaging avatar

    computational-imaging/automatic-integration

    188View on GitHub↗

    Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021

    Python
    View on GitHub↗188
Compare all 9 related projects→

Frequently asked questions

What does facebookresearch/donerf do?

Code for "DONeRF Towards Real-Time Rendering of Compact Neural Radiance Fields using Depth Oracle Networks"

What are the main features of facebookresearch/donerf?

The main features of facebookresearch/donerf are: Efficient Rendering.

Which projects share features with facebookresearch/donerf?

Projects with overlapping indexed features include: computational-imaging/automatic-integration — Official repo for AutoInt: Automatic Integration for Fast Neural Volume Rendering in CVPR 2021. creiser/kilonerf — Code for KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. facebookresearch/nsvf — Open source code for the paper of Neural Sparse Voxel Fields. heng14/dylin — Source code for CVPR 2023 DyLiN paper. snap-research/mobiler2l — [CVPR 2023] Real-Time Neural Light Field on Mobile Devices. snap-research/r2l — [ECCV 2022] R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis.