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[CVPR 2024] MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation

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Hi Thanks for the great work! I encountered below error > (base) root@39c632041e34:/workspace/code/mvdfusion# python demo.py -c configs/mvd_gso.yaml Traceback (most recent call last): File "demo.py", line 17, in from pytorch_lightning import...

Hello,i'm interested in this work,but i can't find the training code in your train.py.When will you submit your whole training code ?it will be so grateful for me if you...

Hello , i read your paper and i find that you render 16 views from an elevation of 30 degrees and azimuth linearly spaced across 360 degrees.I am interested in...

Hi, thanks for your great work! I tried to reconstruct the 3D point cloud by directly unprojecting the foreground pixels using the predicted multiview RGB-D images, but I couldn’t get...

How can I make my own data set to train on your code, can you disclose the format of your data set, thank you very much, will not be more...

Hello author, according to the provided blender scripts, the original rescale should be [0,1]->[0.5,2.5], but I use the following code for the backprojection: ```python depth_img = depth_img * 2.0 +...

Thank you for your excellent work! I want to ask about the test result of Table 2: Results for novel view synthesis on the Google Scanned Objects (GSO) dataset. The...

Could you please provide a download link for the training set?