Skip to content

ragavsachdeva/CYWS-3D

Repository files navigation

[Project Page] [arXiv]

In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) 2023

Ragav Sachdeva, Andrew Zisserman

results

Installation

Clone the repository

git clone --recursive git@github.com:ragavsachdeva/CYWS-3D.git

Install depedencies

conda create -n cyws3d python=3.9 -y
conda activate cyws3d
conda install -c pytorch pytorch=1.10.1 torchvision=0.11.2 cudatoolkit=11.3.1 -y
conda install -c fvcore -c iopath -c conda-forge fvcore iopath
conda install pytorch3d==0.7.1 -c pytorch3d --freeze-installed
pip install mmcv-full==1.7.0 -f https://download.openmmlab.com/mmcv/dist/cu113/torch1.10/index.html
pip install timm==0.6.12 jsonargparse matplotlib imageio loguru einops wandb easydict kornia==0.6.8 scipy etils mmdet==2.25.3
pip install segmentation-models-pytorch@git+https://github.com/ragavsachdeva/segmentation_models.pytorch.git@2cde92e776b0a074d5e2f4f6a50c68754f948015

Datasets

KC-3D: wget https://thor.robots.ox.ac.uk/cyws-3d/kc3d.tar

RC-3D: wget https://thor.robots.ox.ac.uk/cyws-3d/rc3d.tar

Pre-trained model

wget https://thor.robots.ox.ac.uk/cyws-3d/cyws-3d.ckpt.gz
gzip -d cyws-3d.ckpt.gz

Example Usage

Please try running:

python inference.py --load_weights_from ./cyws-3d.ckpt

This should perform a batched inference on a set of example image pairs under various settings (see this file).

Citation

@InProceedings{Sachdeva_ICCVW_2023,
    title = {The Change You Want to See (Now in 3D)},
    author = {Sachdeva, Ragav and Zisserman, Andrew},
    booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
    year = {2023},
}

About

The official implementation of the paper The Change You Want to See (Now in 3D) (ICCVW 2023).

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages