feat: add local paths to downloads since links are drive.google.com/*
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@ -8,3 +8,6 @@ __pycache__
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*.npz
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eval_model
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eval_data
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ShapeNetCore.v2.PC15k*
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checkpoints
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@ -30,7 +30,7 @@ The code was tested on Unbuntu with Titan RTX.
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## Data
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For generation, we use ShapeNet point cloud, which can be downloaded [here](https://github.com/stevenygd/PointFlow).
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For generation, we use ShapeNet point cloud, which can be downloaded [here](https://github.com/stevenygd/PointFlow). Or at `/data/users/lfainsin/PVD/ShapeNetCore.v2.PC15k.zip`.
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For completion, we use ShapeNet rendering provided by [GenRe](https://github.com/xiumingzhang/GenRe-ShapeHD).
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We provide script `convert_cam_params.py` to process the provided data.
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@ -43,7 +43,7 @@ $ python convert_cam_params.py --dataroot DATA_DIR --mitsuba_xml_root XML_DIR
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which will create `..._cam_params.npz` in each provided data folder for each view.
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## Pretrained models
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Pretrained models can be downloaded [here](https://drive.google.com/drive/folders/1Q7aSaTr6lqmo8qx80nIm1j28mOHAHGiM?usp=sharing).
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Pretrained models can be downloaded [here](https://drive.google.com/drive/folders/1Q7aSaTr6lqmo8qx80nIm1j28mOHAHGiM?usp=sharing). Or at `/data/users/lfainsin/PVD/checkpoints`.
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## Training:
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