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Generate 3D objects conditioned on text or images

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using Python 3.11.2 in Visual Studio Code ( Mac M1 ) It show me error after running this code below ```python xm = load_model('transmitter', device=device) model = load_model('image300M', device=device) diffusion...

Running fine until starting with generating the iterations. No progress anymore.

I know from #1 how to export as a ply file, however I have had no luck at exporting any textures. I saw that in shap_e/examples/example_data/cactus/ is an obj file...

Amazing job on this project. Would it be possible to get the code for training on custom data?

Adds `.obj` outputting capabilities to the TriMesh class.

Hi, It's really fascinating to see how this package turns 2D single image to 3D. When I was using the notebook that guided on how to convert image to 3D,...

Sampling on CPU is possible but takes about ~5% of overall computations, while 90% is free and not using and idk why.

Let's figure out how this can co-exist and even work great together with our Printables.com. Ping me at [email protected] for brainstorming 🤔

I hate to do this, but it's not clear from the paper or the repo. The code is MIT licensed, but what's the license on the model weights?