conda create -n animatable_nerf python=3.7
conda activate animatable_nerf
# make sure that the pytorch cuda is consistent with the system cuda
# e.g., if your system cuda is 10.0, install torch 1.4 built from cuda 10.0
pip install torch==1.4.0+cu100 -f https://download.pytorch.org/whl/torch_stable.html
pip install -r requirements.txt
If someone wants to run the baseline methods NHR
and NT
, please install the libraries:
# install poinetnet2
ROOT=/path/to/animatable_nerf
cd $ROOT/lib/csrc/pointnet2
python setup.py build_ext --inplace
# install PCPR
cd ~
git clone https://github.com/wuminye/PCPR.git
cd PCPR
python setup.py install
# install pytorch3d
cd ~
git clone https://github.com/facebookresearch/pytorch3d.git
cd pytorch3d
git checkout tags/v0.4.0
python setup.py install
-
Since the license of Human3.6M dataset does not allow us to distribute its data, we cannot release the processed Human3.6M dataset publicly. If someone is interested at the processed data, please email me.
-
Create a soft link:
ROOT=/path/to/animatable_nerf cd $ROOT/data ln -s /path/to/h36m h36m
-
If someone wants to run the baseline method
NT
, please run the script:python tools/render_h36m_uvmaps_pytorch3d.py
-
If someone wants to download the ZJU-Mocap dataset, please fill the form to obtain the download link. Another way is filling in the agreement and emailing me ([email protected]) and cc Xiaowei Zhou ([email protected]) to request the download link.
-
Create a soft link:
ROOT=/path/to/animatable_nerf cd $ROOT/data ln -s /path/to/zju_mocap zju_mocap
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MonoCap is a dataset composed by authors of animatable sdf from DeepCap and DynaCap.
-
Since the license of DeepCap and DynaCap dataset does not allow us to distribute its data, we cannot release the processed MonoCap dataset publicly. If you are interested in the processed data, please download the raw data from here and email me for instructions on how to process the data.
-
Create a soft link:
ROOT=/path/to/animatable_nerf cd $ROOT/data ln -s /path/to/monocap monocap
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SyntheticHuman is a dataset created by authors of animatable sdf. It contains multi-view videos of 3D human rendered from characters in the RenderPeople dataset along with the groud truth 3D models.
-
Since the license of the RenderPeople dataset does not allow distribution of the 3D models, we cannot realease the processed SyntheticHuman dataset publicly. If you are interested in this dataset, please email me for instructions on how to generate the data.
-
Create a soft link:
ROOT=/path/to/animatable_nerf cd $ROOT/data ln -s /path/to/synthetichuman synthetichuman