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Hello,
Thank for your great work. I tried your code to perform pose transfer with the code
python run_demo.py --s_path video.mp4 --d_path stable3.mp4 --model_path .\checkpoints\dpe.pt --face pose
But the result is quite weired (see attachment). Is there any setting to improve the result?
Hi, Thank you for your attention!
Due to the lack of structural information, rotating in the third dimension will generate artifacts. In fact, we have found that the version based on Transformer can solve this problem and is currently in progress.
In addition, it may perform poorly on examples with large domain differences because the training set is Voxdataset.
Hello,
Thank for your great work. I tried your code to perform pose transfer with the code
python run_demo.py --s_path video.mp4 --d_path stable3.mp4 --model_path .\checkpoints\dpe.pt --face pose
But the result is quite weired (see attachment). Is there any setting to improve the result?
https://github.com/OpenTalker/DPE/assets/109195411/1fc0ee68-bcf0-4450-a78a-24c7a49d03d6
video is down for same reason. Please see https://www.bilibili.com/video/BV1844y1F7v1/?vd_source=68fd0a3864408b733915dd2c8b2676f7.
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