mipnerf-pytorch
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bebeal
A re-implementation of mip-NeRF in PyTorch
Hi @bebeal, thank you for the awesome implementation. I'm wondering if you are planning to update support for Mip-NeRF-360 anytime soon?
Could u update code for multi-GPUs training? I've tried change it for multi-GPUs training, but got some bugs I've changed `train.py` as follows: ```python if torch.cuda.device_count() > 1: print("Let's use",...
Could u update code for multi-GPUs training? I've tried change it for multi-GPUs training, but got some bugs I've changed `train.py` as follows: ```python if torch.cuda.device_count() > 1: print("Let's use",...
Try to render a video from the trained model, but got error @bebeal @ninaahmed Full log after visualize.py implementation > /home/trillion/miniconda3/envs/mipNeRF/bin/python visualize.py > Generating Render Poses > Generating rays >...
I followed the instructions from the README.md, ran the code and it turned out that the compiler complained about some kind of python grammatical errors as "list indices must be...
After training the model I am not able to extract the mesh properly, The error raised is: Mesh has 0.00 M vertices and 0.00 M faces. @bebeal please could you...
For anyone using this implementation, be aware the hierarchical sampling implementation used here is very slow compared to others. A faster one can be found here (~20x faster in my...
