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Zhengqing Wang
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- ### Installation | ||
**Step 1.** Create conda environment and activate. | ||
``` | ||
conda create --name puzzlefusionpp python=3.8 -y | ||
conda activate puzzlefusionpp | ||
``` | ||
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**Step 2.** Install PyTorch. | ||
``` | ||
conda install -y pytorch==2.0.1 torchvision==0.15.2 torchaudio==2.0.2 pytorch-cuda=11.7 -c pytorch -c nvidia | ||
``` | ||
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**Step 3.** Install PyTorch3d. | ||
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pip3 install -r requirements.txt |
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## Training | ||
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The training consists of three modules as detailed in the paper. We train the models on 4 Nvidia RTX A6000 GPUs. | ||
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**Stage 1**: VQVAE: | ||
``` | ||
sh ./scripts/train_vqvae.sh | ||
``` | ||
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**Stage 2**: SE3 denoiser: | ||
``` | ||
sh ./sripts/train_denoiser.sh | ||
``` | ||
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**Stage 3**: Pairwise alignment verifier: | ||
``` | ||
sh ./sripts/train_verifier.sh | ||
``` | ||
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We also have provided checkpoint for easier testing [here](). |