Comments (7)
Our model is trained on a single TITAN Xp GPU, which takes about one day. Feel free to let me know if you encounter problems or have any results.
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Hi, what do you mean by bigger images? More than one person in the image with higher resolutions? If so, you might need a person detector to crop person regions before using our model.
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still one person by image, but on a higher resolution. For example, 500x500 pixels. Will it increase the accuracy, or would it be the same? I have just figured out how to make it work on bigger images, but the smpl output is just wrong.
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In this case, you need to re-train the model with higher resolutions of input images and IUV maps. When using IUV maps with higher resolutions, the reconstruction performance should be better.
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Awesome, thank you. Can you tell me on which platform did you train and how long did it take? Thanks again, I'm writing some nice stuff with it, will come back to you to let you know when its released!
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Hello. I would also like to run in higher resolution. I need to change the focal length. Do I also have to retrain it?
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Hello. I would also like to run in higher resolution. I need to change the focal length. Do I also have to retrain it?
Hi, retraining the model should have additional performance gains.
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Related Issues (13)
- When would you public the code? HOT 1
- Error running demo.py HOT 1
- Some files cannot be found
- how to obtain the h36m_mosh_train.npz HOT 1
- Issue with dimmensions HOT 1
- what's wrong with this? HOT 1
- RuntimeError: faces must be contiguous? HOT 1
- Questions about uv map
- Question about female/neutral model HOT 1
- Could I reconstruct my picture to different shape? HOT 3
- Error of smplx HOT 1
- How do you prepare and render partial IUV image? HOT 2
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