HashNeRF-pytorch
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Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
Hello, I would like to train on my own dataset. Is the repo able to do that?
As mentioned in another issue #2, using the default config like nerf-pytorch does not get comparable performance to Instant-NGP.
Added meshing during training and meshing-only once trained, creating a grid of densities and meshing using marching cubes

When I run this code with the synthetic Lego dataset, it works fine. But when I run it with the llff dataset, I encounter the following issue: python run_nerf.py --config...
https://github.com/yashbhalgat/HashNeRF-pytorch/blob/085ae25cb96c2913d74cbf00260dda8f93803f73/run_nerf.py#L200-L207 Variable `disps` is undefined here, do you mean `depths`? I tried to replace `disps` with `depths` and run `python run_nerf.py --config configs/chair.txt --finest_res 512 --log2_hashmap_size 19 --lrate 0.01 --lrate_decay...
Hi, thanks for the sharing of this code. I'm confused about the SHEncoder, is there any reference on that? How to choose the given C0 to C4? Thank you :-)
Hi, thanks for this pure PyTorch implementation of hashgrid nerf. It helps in figuring out details at PyTorch level. I noticed there is a todo list for faster raymarching and...
Hey, i am stuck with this error at the function: ``def trilinear_interp(self, x, voxel_min_vertex, voxel_max_vertex, voxel_embedds)`` in ``class HashEmbedder(nn.Module):`` ``RuntimeError: The size of tensor a (2) must match the size...