ExBluRF

This is official implementation of ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images (ICCV 2023).

Quickstart

Local Setup

git clone https://github.com/taekkii/ExBluRF.git
cd ExBluRF
conda env create --file environment.yml
conda activate exblurf

Exblur Dataset

You can download Exblur dataset from here Extreme synthetic can be also found from above link.

Download and place it under this repo in below format

./data/exblur
./data/synthetic

Note that "train.txt" is unused component of data-loading.

DeblurNeRF Dataset

You can download Real Camera Motion Blur dataset from DeblurNeRF authors' drive: here. We thank for DeblurNeRF authors for providing the dataset.

Download and place the directory under this repo in below format

./data/real_camera_motion_blur

Train & Evaluate

bash eval_exblur.sh ${GPU} ${EXPNAME} ${SCENE_NAME} # exblur
bash eval_synthetic.sh ${GPU} ${EXPNAME} ${SCENE_NAME} # synthetic
bash eval_real.sh ${GPU} ${EXPNAME} ${SCENE_NAME} # real-motion-blur

Train Only

bash run_exblur.sh ${GPU} ${EXPNAME} ${SCENE_NAME} # exblur
bash run_synthetic.sh ${GPU} ${EXPNAME} ${SCENE_NAME} # synthetic
bash run_real.sh ${GPU} ${EXPNAME} ${SCENE_NAME} # real-motion-blur

Citation

If you find this useful, please consider citing our paper:

@inproceedings{lee2023exblurf,
    Title        = {ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images},
    Author       = {Lee, Dongwoo and Oh, Jeongtaek and Rim, Jaesung and Cho, Sunghyun and Lee, Kyoung Mu},
    Booktile     = {ICCV},
    Year         = {2023}
}

Acknowledge

This source code is derived from the implementation of DeblurNeRF and Plenoxels. We appreciate the effort of the contributor to that repository.