Comments (4)
I just re-ran the code and it seems to be working fine for me.
It seems you are rendering the model at iteration zero? If the training crashed due to resource limitations and rendered a video at step zero, obviously a NeRF which has not been trained at all would not reproduce the test results.
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I ran the prediction with launch_inference.sh in test mode and the model was released by your pre-trained model here. Still can't get the test result
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I have encountered the same problem. Have you solved it?
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@maoqingsunny Unfortunately I cannot assist you without significantly more details regarding the failure to reproduce the result.
Regarding my response earlier:
It seems you are rendering the model at iteration zero? If the training crashed due to resource limitations and rendered a video at step zero, obviously a NeRF which has not been trained at all would not reproduce the test results.
Does this apply to you?
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Related Issues (20)
- I ran the prediction with launch_inference.sh in test mode and the model was released by your pre-trained model here. Still can't get the test result
- How do I turn SDS anchoring on?
- Cuda out of memory during inference
- Evaluation on CO3D HOT 2
- How can I use zeronvs-diffusion (feed-forward model) directly without SDS distillation? HOT 5
- How can I get the dataset urls for zeronvs-diffusion training? HOT 3
- the value of `quantile_scale_blend` in `model.params.conditioning_config` HOT 2
- The actual value of `compute_nearplane_quantile` in zeronvs_diffusion when training on CO3D and Re10K? HOT 3
- About the focus_point_fn HOT 2
- How to download colmap depth from Realestate 10K? HOT 1
- can you support dockerfile build ? HOT 2
- Help for running ZeroNVS on custom images
- Question on RealEstate10k for PixelNeRF style implementation.
- Clip loss? HOT 1
- SDS anchoring by default turned off? HOT 4
- Cannot reproduce some results HOT 2
- That's a great work! But I cannot reproduce the results in my device. HOT 3
- out of memory HOT 2
- Generate novel views with 6dof+1 parameterization HOT 1
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