Comments (5)
How did you solve this problem?
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same problem here. How did you solve the problem?
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same problem here. Have you succeeded to solve?
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same problem here. Have you succeeded to solve?
请问您解决这个问题了吗?我的finetuning结果也很差
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We should use the commit with hash 46a4a23, as subsequent commits have bugs that can lead to abnormal rendering results.
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Related Issues (20)
- About your volume rendering implementation
- It seems that you are not using dir_embedder
- About less than 3 images to reconstruct mesh
- Why finetuning MVSNet HOT 2
- On extrinsic preprocess HOT 1
- can't run training command example HOT 3
- why are you not using dir_embedder in the code but writing in the paper ?
- Some problems on rendering dtu HOT 1
- is the ckpt in the directory of ckpts the best of the result HOT 1
- Running on Google Colab and a CKPT bug
- The relationship between DTU training data and Depth_raw HOT 2
- RuntimeError: Function 'PowBackward0' returned nan values in its 0th output.
- ValueError: The provided lr scheduler "<torch.optim.lr_scheduler.MultiStepLR object at 0x000001FE8239EAF0>" is invalid HOT 3
- TypeError: cannot unpack non-iterable NoneType object HOT 1
- Test the DTU dataset with IBRNet
- How many views are used during finetuning?
- Each run reports a different error: No such file or directory: './dataset/dtu/Rectified/scan1_train/rect_011_3_r5000.png' HOT 2
- How can I get the new depth map
- win_size exceeds image extent. Either ensure that your images are at least 7x7;
- Pre-trained checkpoint
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