/D2RF

Primary LanguagePythonMIT LicenseMIT

Dynamic Neural Radiance Field From Defocused Monocular Video

Xianrui Luo1, Huiqiang Sun1, Juewen Peng2, Zhiguo Cao1

1Huazhong University of Science and Technology, 2Nanyang Technological University

Data | Paper

This repository is the official PyTorch implementation of the ECCV 2024 paper "Dynamic Neural Radiance Field From Defocused Monocular Video".

Usage

Dependency

  • numpy
  • scikit-image==0.21.0
  • imageio
  • configargparse
  • opencv-python
  • kornia
  • torch
  • torchvision

Training

python run_nerf.py --config configs/xxx.txt

We use the left view for training and the right view for evaluation.

python run_nerf.py --config configs/xxx.txt --render_test

The checkpoints are in Google Drive.

There are a total of 8 scenes used in the paper. You can download all the data in here.

Acknowledge

This source code is derived from Deblur-NeRF and NSFF. We appreciate the effort of the contributors to these repositories.