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nvlabs/eg3d
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Python
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NOASSERTION
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I want to generate a 3D human face using EG3D's pre-trained models. Walk me through running the inference command and exporting the result as a 3D shape file I can load into Blender.
Help me set up the EG3D environment on a machine with NVIDIA GPUs, including installing the correct CUDA version and PyTorch dependencies.
I have a folder of 2D photos of cars. How do I prepare this dataset and start training an EG3D model to generate 3D cars?
Show me how to use EG3D's interactive visualizer to explore a trained model and generate an interpolated transition video between two generated objects.
Full explanation on explaingit →
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