Comments (3)
Also, I think although in MVS setting the cost volume is at one of the reference view, in general there is no such constraint, you can build the cost volume whereever you want. The implementation is also straightforward.
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Yeah, it's interesting to see what happens if physically places the camera closer to the scene, I also haven't tried this situation before. I think the easiest way to test this setting is to specify the "c2ws_render" matrix in the "renderer_video.ipynb" renderer script. are there some bugs or some other reason that you can't able to run the code?
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Also, I think although in MVS setting the cost volume is at one of the reference view, in general there is no such constraint, you can build the cost volume whereever you want. The implementation is also straightforward.
Do you think we can build a sparse voxel octree to store the cost volume, and thus enable free view-point and real-time rendering?
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Related Issues (20)
- Is it necessary to load volume in ckpt?
- target view problem in training HOT 1
- About the function get_ndc_coordinate()
- About batchsize
- Cannot reproduce the results on LLFF dataset HOT 3
- Question about the position input of the MLP x.
- 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
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