Thanks for releasing the NERF implementation using Open3D. I wonder whether the quantitative performance matches the original implementation? Adding such quantitative measurement will definitely help increase the impact for the project. And It will be nice to add a description about whether there is any simplification or difference in this implementation.
BTW, the S3 bucket link for the dataset file (https://dl.fbaipublicfiles.com/pytorch3d_nerf_data) does not work.
Thanks for the explanation!
@zhangmozhe you can access the data files following this format:
e.g. the lego cameras are at: https://dl.fbaipublicfiles.com/pytorch3d_nerf_data/lego.pth.
@davnov134 compared with the original NeRF implementation and can provide more details about performance.
Cool. Thanks for your reply.
When I open the link (https://dl.fbaipublicfiles.com/pytorch3d_nerf_data/lego_cameras.pth), it still prompts:

It's https://dl.fbaipublicfiles.com/pytorch3d_nerf_data/lego.pth . The code for downloading it is right.
@bottler thanks, I have updated my previous comment with the correction!
❓ Quantitative performance measure for the NERF implementation
Thanks for releasing the NERF implementation using Open3D. I wonder whether the quantitative performance matches the original implementation? Adding such quantitative measurement will definitely help increase the impact for the project. And It will be nice to add a description about whether there is any simplification or difference in this implementation.
BTW, the S3 bucket link for the dataset file (https://dl.fbaipublicfiles.com/pytorch3d_nerf_data) does not work.
Thanks for the explanation!
@zhangmozhe we have now updated the readme file with a quantitative comparison to the official TensorFlow implementation.
Great! Thanks for your update about this! BTW, is there any plan to support multi-GPU training using DDP?
It is not on our immediate roadmap, but we will definitely consider this as it seems like a very useful addition.
@zhangmozhe thanks for the suggestion. We will definitely plan to add this support. I will close this issue now that the performance information has been added.