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286 changes: 286 additions & 0 deletions ACKNOWLEDGMENTS

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71 changes: 71 additions & 0 deletions CODE_OF_CONDUCT.md
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# Code of Conduct

## Our Pledge

In the interest of fostering an open and welcoming environment, we as
contributors and maintainers pledge to making participation in our project and
our community a harassment-free experience for everyone, regardless of age, body
size, disability, ethnicity, sex characteristics, gender identity and expression,
level of experience, education, socio-economic status, nationality, personal
appearance, race, religion, or sexual identity and orientation.

## Our Standards

Examples of behavior that contributes to creating a positive environment
include:

* Using welcoming and inclusive language
* Being respectful of differing viewpoints and experiences
* Gracefully accepting constructive criticism
* Focusing on what is best for the community
* Showing empathy towards other community members

Examples of unacceptable behavior by participants include:

* The use of sexualized language or imagery and unwelcome sexual attention or
advances
* Trolling, insulting/derogatory comments, and personal or political attacks
* Public or private harassment
* Publishing others' private information, such as a physical or electronic
address, without explicit permission
* Other conduct which could reasonably be considered inappropriate in a
professional setting

## Our Responsibilities

Project maintainers are responsible for clarifying the standards of acceptable
behavior and are expected to take appropriate and fair corrective action in
response to any instances of unacceptable behavior.

Project maintainers have the right and responsibility to remove, edit, or
reject comments, commits, code, wiki edits, issues, and other contributions
that are not aligned to this Code of Conduct, or to ban temporarily or
permanently any contributor for other behaviors that they deem inappropriate,
threatening, offensive, or harmful.

## Scope

This Code of Conduct applies within all project spaces, and it also applies when
an individual is representing the project or its community in public spaces.
Examples of representing a project or community include using an official
project e-mail address, posting via an official social media account, or acting
as an appointed representative at an online or offline event. Representation of
a project may be further defined and clarified by project maintainers.

## Enforcement

Instances of abusive, harassing, or otherwise unacceptable behavior may be
reported by contacting the open source team at [[email protected]](mailto:[email protected]). All
complaints will be reviewed and investigated and will result in a response that
is deemed necessary and appropriate to the circumstances. The project team is
obligated to maintain confidentiality with regard to the reporter of an incident.
Further details of specific enforcement policies may be posted separately.

Project maintainers who do not follow or enforce the Code of Conduct in good
faith may face temporary or permanent repercussions as determined by other
members of the project's leadership.

## Attribution

This Code of Conduct is adapted from the [Contributor Covenant](https://www.contributor-covenant.org), version 1.4,
available at [https://www.contributor-covenant.org/version/1/4/code-of-conduct.html](https://www.contributor-covenant.org/version/1/4/code-of-conduct.html)
11 changes: 11 additions & 0 deletions CONTRIBUTING.md
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# Contribution Guide

Thanks for your interest in contributing. This project was released to accompany a research paper for purposes of reproducability, and beyond its publication there are limited plans for future development of the repository.

While we welcome new pull requests and issues please note that our response may be limited. Forks and out-of-tree improvements are strongly encouraged.

## Before you get started

By submitting a pull request, you represent that you have the right to license your contribution to Apple and the community, and agree by submitting the patch that your contributions are licensed under the [LICENSE](LICENSE).

We ask that all community members read and observe our [Code of Conduct](CODE_OF_CONDUCT.md).
46 changes: 46 additions & 0 deletions LICENSE
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Copyright (C) 2022 Apple Inc. All Rights Reserved.

IMPORTANT: This Apple software is supplied to you by Apple
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In consideration of your agreement to abide by the following terms, and
subject to these terms, Apple grants you a personal, non-exclusive
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-------------------------------------------------------------------------------
SOFTWARE DISTRIBUTED WITH ML-NEUMAN:

The ml-neuman software includes a number of subcomponents with separate
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-------------------------------------------------------------------------------
152 changes: 152 additions & 0 deletions README.md
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## NeuMan: Neural Human Radiance Field from a Single Video

This repository is a reference implementation for NeuMan. NeuMan reconstructs both the background scene and an animatable human from a single video using neural radiance fields.

[[Paper]](https://arxiv.org/abs/2203.12575)

<p align="center">
<img src="./resources/teaser.gif" height="260">
</p>

### Video demos

Novel view and novel pose synthesis

[[Bike]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/bike.mp4)
[[Citron]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/citron.mp4)
[[Parking lot]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/demo3.mp4)
[[Jogging]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/jogging.mp4)
[[Lab]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/lab.mp4)
[[Seattle]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/seattle.mp4)

Compositional Synthesis

[[Handshake]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/handshake.mp4)
[[Dance]](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/dance.mp4)

### Environment

To create the environment using Conda:

```sh
conda env create -f environment.yml
```

Alternately, you can create the environment by executing:

```sh
conda create -n neuman_env python=3.7 -y;
conda activate neuman_env;
conda install pytorch==1.8.0 torchvision==0.9.0 cudatoolkit=10.2 -c pytorch;
conda install -c fvcore -c iopath -c conda-forge fvcore iopath;
conda install -c bottler nvidiacub;
conda install pytorch3d -c pytorch3d;
conda install -c conda-forge igl;
pip install opencv-python joblib open3d imageio tensorboardX chumpy lpips scikit-image ipython matplotlib;
```

Notice that `pytorch3d` requires a specific version of pytorch, in our case `pytorch=1.8.0`.

Activate the environment:

```sh
conda activate neuman_env
```

### Demo

- Download SMPL weights:
- Registration is required to download the UV map(Download UV map in OBJ format) from [SMPL](https://smpl.is.tue.mpg.de/download.php).
- Download neutral SMPL weights(SMPLIFY_CODE_V2.ZIP) from [SMPLify](https://smplify.is.tue.mpg.de/download.php), extract `basicModel_neutral_lbs_10_207_0_v1.0.0.pkl` and rename it to `SMPL_NEUTRAL.pkl`.
- Put the all the downloaded files into `./data/smplx` folder with following structure:
```bash
.
└── data
   └── smplx
   ├── smpl
   │   └── SMPL_NEUTRAL.pkl
   └── smpl_uv.obj
```

- Download NeuMan dataset and pretrained models:
- Data ([download](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/dataset.zip))
- Pretrained models ([download](https://docs-assets.developer.apple.com/ml-research/datasets/neuman/pretrained.zip))

Alternately, run the following script to set up data and pretrained models.

```sh
bash setup_data_and_models.sh
```
- (*Optional*) Download AMASS dataset for reposing:
- AMASS dataset is used for rendering novel poses, specifically `render_reposing.py` and `render_gathering.py`.
- We used SFU mocap(SMPL+H G) subset, please download from [AMASS](https://amass.is.tue.mpg.de/download.php).
- Put the downloaded mocap data in to `./data/SFU` folder.
```bash
.
└── data
   └── SFU
   ├── 0005
   ├── 0007
   │ ...
   └── 0018
```

- Render using pretrained model

Render 360 views of a human:

```sh
python render_360.py --scene_dir ./data/bike --weights_path ./out/bike_human/checkpoint.pth.tar --mode canonical_360
```
Render test views of a sequence, and evaluate the metrics:

```sh
python render_test_views.py --scene_dir ./data/bike --weights_path ./out/bike_human/checkpoint.pth.tar
```
Render novel poses with the background:

```sh
python render_reposing.py --scene_dir ./data/bike --weights_path ./out/bike_human/checkpoint.pth.tar --motion_name=jumpandroll
```
Render telegathering:

```sh
python render_gathering.py --actors parkinglot seattle citron --scene_dir ./data/seattle --weights_path ./out/seattle_human/checkpoint.pth.tar
```


### Training

- Download NeuMan dataset

- Train scene NeRF
```sh
python train.py --scene_dir ./data/bike/ --name=bike_background --train_mode=bkg
```

- Train human NeRF
```sh
python train.py --scene_dir ./data/bike --name=bike_human --load_background=bike_background --train_mode=smpl_and_offset
```

### Use your own video

- Preprocess: Check [preprocess](./preprocess/README.md)

### Citation

```
@inproceedings{jiang2022neuman,
title={NeuMan: Neural Human Radiance Field from a Single Video},
author={Jiang, Wei and Yi, Kwang Moo and Samei, Golnoosh and Tuzel, Oncel and Ranjan, Anurag},
booktitle={Proceedings of the European conference on computer vision (ECCV)},
year={2022}
}
```

### License

The code is released under the [LICENSE](./LICENSE) terms.
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