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Training on custom dataset #7
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Hi @QiHaoYao, sorry for catching you up late. Our prototype implementation leverages the part-level implicit function representation proposed by SPAGHETTI, Hertz et al., ACM ToG 2022. If you already have a 3D shape dataset, please train the decoder and the codebook of the SPAGHETTI model. Please let me know if you have further questions. Best, |
May I ask where to get the training code for spaghetti, I did not find it in the official repo |
We sent an e-mail to the author of SPAGHETTI while working on this project. Unfortunately, I could not find the training script, might have been removed while we are cleaning things up. Could you send a code request to the author? |
Hello, I would like to reproduce the results of SPAGHETTI. You mentioned in another closed issue that you were unable to train the model successfully. Could you please explain in detail why that is? Thank you very much. |
Hi, thanks for your great work! I have a question about how to train it on my own dataset, how should I prepare the data. Thanks and looking forward to your answers!
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