3D-RETR
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3D-RETR: End-to-End Single and Multi-View3D Reconstruction with Transformers
Hi, I have a question about how long the network was trained. In the paper, it says > Training takes 1 to 3 days, depending on the exact setting. but...
Hi~ Thank you for your great work and contribution to the repo! Then I would like to ask you how you visualize the voxel file(binvox), for example, the figure in...
Greets, when I read your paper, I find that the Pix2Vox++ score in the Table 4 _results of single-view reconstruction on the Pix3D-Chair dataset_ is different from Pix2Vox++ paper's. Why...
https://github.com/FomalhautB/3D-RETR/blob/a359ec453a930cf507aab442fac57b7bae3029ce/train.py#L76 When i ran the raw codes, I have met a problem python train.py --model_path SHAPENET_VOXEL --image_path SHAPENET_IMAGE --annot_path data/ShapeNet.json --transformer_config config/3d-retr-s.yaml --gpus 2 { 'accelerator': None, 'accumulate_grad_batches': 1, 'amp_backend':...
Greetings, Could you share the pre-trained models? Thank you in advance.