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https://abdo-eldesokey.github.io/text2ac-zero

This is the official repository for "LatentMan: Generating Consistent Animated Characters using Image Diffusion Models" [CVPRW 2024]
https://abdo-eldesokey.github.io/text2ac-zero

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This is the official repository for "LatentMan: Generating Consistent Animated Characters using Image Diffusion Models" [CVPRW 2024]

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README

        

# LatentMan : Generating Consistent Animated Characters using Image Diffusion Models

CVPRW 2024



method

## Environment
This code was tested on Python 3.8 with Cuda 12.1 and PyTorch 2.3.

- To setup up the environemnt, simply create a Conda environemnt by running:

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

- Follow the instructions for parts 2,3 in MDM's [README.md](https://github.com/GuyTevet/motion-diffusion-model/tree/main) to download the required files for Motion-Diffusion-Model code located in `external/MDM`.

- You can download some examples of generated motions to `workspace` by running:
```
gdown "1IdaCPpRWrmRX5AVXXUXymwFVHXt2CNnW&confirm=t"
unzip workspace.zip
```

## Getting Started
Please refer to `getting_started.ipynb`.

## Acknowledgements
Parts of this code base are adapted from [MDM](https://github.com/GuyTevet/motion-diffusion-model/tree/main), [Detectron2](https://github.com/facebookresearch/detectron2), and [MvDeCor](https://github.com/nv-tlabs/MvDeCor).

## Citation
If you use this code or parts of it, please cite our paper:
```
@inproceedings{eldesokey2024latentman,
title={LATENTMAN: Generating Consistent Animated Characters using Image Diffusion Models},
author={Eldesokey, Abdelrahman and Wonka, Peter},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
pages={7510--7519},
year={2024}
}
```