Comments (2)
Hi, we currently don't support training with batch_size > 1 (one training image per iteration). There should be some NeRF works/codes that use multiple images for one training iteration and you could modify the code based on these resources.
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OK, thank you
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Related Issues (20)
- Poor quality output HOT 5
- How do you account for the human movement in background modeling? HOT 1
- Why is SMPL pose condition zeroed out before 20 epochs and every 20 epochs after that ? HOT 1
- I can see the vis result using aitviewer, but have OSError: [Errno 32] Broken pipe. when i want to export the video. HOT 2
- Is PyTorch3D compatible with the other libraries versions? HOT 2
- SynWild dataset inaccurate body poses HOT 4
- Setting up training dataset HOT 3
- About pre trained sdf field HOT 3
- About the function transform_smpl HOT 1
- textured mesh
- how to get correct miltiview rendering result in one frame HOT 1
- Model checkpoints, training data, and evaluation code
- error in training HOT 1
- Export extra data? HOT 1
- Poor results on PeopleSnapshot dataset HOT 1
- train.py not running HOT 2
- Canonical Texture
- Pretrain
- Demo Frame Skip HOT 1
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