Comments (3)
I'm sorry I have no idea on this problem.
Thanks , can you share a training sample, I think there is something wrong with my render script, maybe i can compare the details to find the difference. Thanks. [email protected]
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I'm sorry I have no idea on this problem.
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@hopeliu20160622 hello,how did you render your datasets with 32 views?Use python code?i am interested in it .!!
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Related Issues (20)
- could you provide the rendering scripts to evalutate ? HOT 1
- 8GB of models downloading every time I launch app.py
- can providing good quality of image will not impact quality HOT 2
- INTERNAL ASSERT FAILED after generating multiviews
- Training CUDA Out Of Memory error HOT 5
- How to get the quantitative results as reported in the paper HOT 1
- Training time?
- RuntimeError: handle_0 INTERNAL ASSERT FAILED at "../c10/cuda/driver_api.cpp":15, please report a bug to PyTorch.` HOT 2
- not all arguments converted during string formatting log HOT 2
- How to Improve Texture Quality and is there a way to tweak the model generation part by providing the normal maps?
- Torch cache not releasing
- Command '['ninja', '-v']' returned non-zero exit status 1
- Loading diffusion model ... Error HOT 1
- IndexError: too many indices for tensor of dimension 2
- Using other multi view models? HOT 1
- Getting errors when running the demo.
- Improve texture quality HOT 2
- Number of epochs before seeing a decrease in the loss HOT 2
- Fine-Tuning Zero123++ pre-defined range of query image.
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