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[CVPR 2024 Highlight] XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchies

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Could you share the memory cost by different stage and different dataset? I met the problem that I train fine VAE on 80GB GPU with batch_size=1 will OOM at epoch0

https://github.com/nv-tlabs/XCube/blob/d0ee1c26ebd67a9a8ff803835333b088155fb051/xcube/modules/autoencoding/base_encoder.py#L63 It leads to "RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation" during training.

At the FVDB install step, I am facing an issue where the build fails. It appears that system runs out of memory. I have 32 GB ram in the system....

Thanks to your great job. When will the code for waymo data processing be available?

Hey, thank you for sharing such wonderful work! I am wondering whether it is possible to grant access to your shapenet dataset? ![image](https://github.com/user-attachments/assets/3011affc-0bc5-428c-bbc7-f56786fbfbbd) Many thanks again!

I am trying to get xcube to run on a nvidia Jetson Orin Nano. It is currently running with Jetpack 6.0. During the setup process I ran into an error...

Hi! Thanks for your great work. I'm trying to reproduce your results, and I would like to know if you could make your evaluation script available. I have tried to...

At first I try to train coarse VAE using the given command python train.py ./configs/shapenet/chair/train_vae_16x16x16_dense.yaml --wname 16x16x16-kld-0.03_dim-16 --max_epochs 100 --cut_ratio 16 --gpus 1 --batch_size 16 Due to the GPU different...

Thanks to your greate job. When the objaverse training code will be release?