Comments (1)
Hi,
As discussed in our paper, it takes about 30 seconds to render a depth map and RGB image with size as 800x600. The tsdf fusion is fast and only takes several seconds.
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Related Issues (20)
- Visualization results HOT 2
- Question about Fine-tuning HOT 3
- Is there a little mistake on confusing SRDF and SDF in Appendix 7 of the paper? HOT 1
- Question about the quantitative evaluation results on DTU dataset HOT 1
- Reproduce problem regarding the edge of the picture and generated mesh HOT 2
- Why is there a difference between the VolRecon and SparseNeus when computing "iter_cos" from "true_cos" in renderer.py? HOT 1
- Issue with tsdf_fusion.sh on custom data
- Approximate training time HOT 1
- loss=nan HOT 2
- Quantitative results HOT 3
- Questions about source views HOT 7
- TypeError: relu(): argument 'input' (position 1) must be Tensor, not float
- depth_fusion HOT 2
- Extract the custom mesh HOT 1
- Volume Rendering of SRDF HOT 5
- Single view reconstruction HOT 1
- camera coordinate in data preprocessing (dtu_train.py) HOT 2
- Error when trying to run pip install -r requirements.txt HOT 1
- how calculate camera parameter ? HOT 1
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