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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation
| Date | Stars |
|---|---|
| 2026-07-24 | 996 |
| 2026-07-25 | 996 |
| 2026-07-28 | 996 |
| 2026-07-30 | 996 |
| 2026-08-06 | 996 |
Today
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## :book: Depth-Aware Generative Adversarial Network for Talking Head Video Generation (CVPR 2022)
<p align="center">
<small>:fire: If DaGAN is helpful in your photos/projects, please help to :star: it or recommend it to your friends. Thanks:fire:</small>
</p>
<p align="center">
<small>:fire: Seeking for the collaboration and internship opportunities. :fire:</small>
</p>
> [[Paper](https://arxiv.org/abs/2203.06605)]   [[Project Page](https://harlanhong.github.io/publications/dagan.html)]   [[Demo](https://huggingface.co/spaces/HarlanHong/DaGAN)]   [[Poster Video](https://www.youtube.com/watch?v=nahsJNjWzGo&t=1s)]<br>
<!-- > [Fa-Ting Hong](https://harlanhong.github.io), [Longhao Zhang](https://dblp.org/pid/236/7382.html), [Li Shen](https://scholar.google.co.uk/citations?user=ABbCaxsAAAAJ&hl=en), [Dan Xu](https://www.danxurgb.net) <br> -->
<!-- > The Hong Kong University of Science and Technology, Alibaba Cloud -->
> [Fa-Ting Hong](https://harlanhong.github.io), [Longhao Zhang](), [Li Shen](), [Dan Xu](https://www.danxurgb.net) <br>
> The Hong Kong University of Science and Technology<br>
> Alibaba Cloud
### Cartoon Sample
https://user-images.githubusercontent.com/19970321/162151632-0195292f-30b8-4122-8afd-9b1698f1e4fe.mp4
### Human Sample
https://user-images.githubusercontent.com/19970321/162151327-f2930231-42e3-40f2-bfca-a88529599f0f.mp4
### Voxceleb1 Dataset
<p align="center">
<img src="assets/visual_vox1.png">
</p>
:triangular_flag_on_post: **Updates**
- :fire::fire::white_check_mark: July 20 2023: Our new talking head work **[MCNet](https://harlanhong.github.io/publications/mcnet.html) was accpted by ICCV2023. There's no need to train a facial depth network, which makes it more convenient for users to test and fine-tune.
- :fire::fire::white_check_mark: July 26, 2022: The normal dataparallel training scripts were released since some researchers informed me they ran into **DistributedDataParallel** problems. Please try to train your own model using this [command](#dataparallel). Also, we deleted the command line "with torch.autograd.set_detect_anomaly(True)" to boost the training speed.
- :fire::fire::white_check_mark: June 26, 2022: The repo of our face depth network is released, please refer to [Face-Depth-Network](https://github.com/harlanhong/Face-Depth-Network) and feel free to email me if you meet any problem.
- :fire::fire::white_check_mark: June 21, 2022: [Digression] I am looking for research intern/research assistant opportunities in European next year. Please contact me If you think I'm qualified for your position.
- :fire::fire::white_check_mark: May 19, 2022: The depth face model (50 layers) trained on Voxceleb2 is released! (The corresponding checkpoint of DaGAN will release soon). Click the [LINK](https://hkustconnect-my.sharepoint.com/:f:/g/personal/fhongac_connect_ust_hk/EkxzfH7zbGJNr-WVmPU6fcABWAMq_WJoExAl4SttKK6hBQ?e=fbtGlX)
- :fire::fire::white_check_mark: April 25, 2022: Integrated into Huggingface Spaces 🤗 using Gradio. Try out the web demo: [](https://huggingface.co/spaces/HarlanHong/DaGAN) (GPU version will come soon!)
- :fire::fire::white_check_mark: Add **[SPADE model](https://hkustconnect-my.sharepoint.com/:f:/g/personal/fhongac_connect_ust_hk/EjfeXuzwo3JMn7s0oOPN_q0B81P5Wgu_kbYJAh7uSAKS2w?e=XNZl3K)**, which produces **more natural** results.
## :wrench: Dependencies and Installation
- Python >= 3.7 (Recommend to use [Anaconda](https://www.anaconda.com/download/#linux) or [Miniconda](https://docs.conda.io/en/latest/miniconda.html))
- [PyTorch >= 1.7](https://pytorch.org/)
- Option: NVIDIA GPU + [CUDA](https://developer.nvidia.com/cuda-downloads)
- Option: Linux
### Installation
We now provide a *clean* version of DaGAN, which does not require customized CUDA extensions. <br>
1. Clone repo
```bash
git clone https://github.com/harlanhong/CVPR2022-DaGAN.git
cd CVPRExcerpt of 8,915 characters
Read on GitHub48
5
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b00b04bc8d5e305b, topic:talking-head, topic:deepfake, desc:video generation