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chenhsuanlin / 3D-point-cloud-generation

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction :grapes: (AAAI 2018)
MIT License
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Could you release your multi-category dataset or method for getting inputRGB images and testGT ? #6

Open xiaomingjie opened 6 years ago

xiaomingjie commented 6 years ago

Hi @chenhsuanlin ,

Thanks for sharing code and dataset!! But according to your description on dataset and rendering depth images, it seems that RGB images, testGT of shapenet models (except chairs) and Train/test split files(also except chairs) are not given. Could you please release your multi-category dataset or just release your method for getting the inputRGB images and testGT (point cloud)?

Thanks for your sharing and looking forward to your reply sincerely.

Pengzz1024 commented 5 years ago

Hi @chenhsuanlin ,

Thanks for sharing code and dataset!! But according to your description on dataset and rendering depth images, it seems that RGB images, testGT of shapenet models (except chairs) and Train/test split files(also except chairs) are not given. Could you please release your multi-category dataset or just release your method for getting the inputRGB images and testGT (point cloud)?

Thanks for your sharing and looking forward to your reply sincerely.

Hi, do you test successfully for multi-category dataset except chairs?