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[AAAI'24] Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

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Linyou/Ced-NeRF

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Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

This project is based on Nerfacc.

Usage

For HyperNeRF dataset:

python train_real.py --data_root /home/loyot/workspace/Datasets/NeRF/HyberNeRF/  --scene vrig_3dprinter

For DyNeRF dataset:

python train_real.py --data_root /home/loyot/workspace/Datasets/NeRF/3d_vedio_datasets  --scene flame_salmon_1

TODO before release

  • Add DNeRF dataset support
  • Fuse encoder and MLP after training
  • Support visualization on camera pose and radiance field
  • Add taichi-ngp-renderer support

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[AAAI'24] Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

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