torch_efficient_distloss
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Efficient distortion loss with O(n) realization.
I want to train on custom data. I have the poses, but I am unable to get the disp directory for training
Hi ! I'm trying to run [Block-NeRF](https://github.com/sjtuytc/UnboundedNeRFPytorch) and I faced this error: ```bash Using /root/.cache/torch_extensions/py310_cu116 as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /root/.cache/torch_extensions/py310_cu116/segment_cumsum_cuda/build.ninja... Building...
I've read the code about `eff_distloss_native()`, but I could not really understand how it works :( Can you please put on some derivations so that we could more understand the...

Thank you for this great implementation of distortion loss. I ran into this issue when compiling your extension. ```shell \lib\site-packages\torch\include\pybind11\cast.h(624): error: too few arguments for template template parameter "Tuple" detected...
Hi, What do you set the interval value to for the last sampled point on each ray. Using a large term (1e10) as a substitute for infinity make the loss...
I fond a core dumped issue when using this library:  .