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A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

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HOW TO SOLVE THIS PROBLEM? Thanks. ![image](https://user-images.githubusercontent.com/27406337/191221733-6112a16a-db30-4962-bbda-1f1041f528d2.png) ![image](https://user-images.githubusercontent.com/27406337/191221854-e6de796f-0577-489d-8ae6-baa874e7a635.png)

I try to train a NeRF on the lego bulldozer scene, and although the RGB video comes out as expected, the depth video is just black. I'm using torch==1.8.1 and...

It may miss relu layer to the output of the alpha. In current implementation, the alpha can be negative!

In the tensorflow implementation, it has a function that the geometry of the scene can be extracted as cubes. https://github.com/bmild/nerf https://github.com/bmild/nerf/blob/master/extract_mesh.ipynb Is it also possible in this pytorch project?

`def pose_spherical(theta, phi, radius): c2w = trans_t(radius) # print(c2w) c2w = rot_phi(phi / 180. * np.pi) @ c2w # print(c2w) c2w = rot_theta(theta / 180. * np.pi) @ c2w #...

Could you please tell me how to use Colmap and LLFF codes to create my own real datasets?

During the learning process, the following error occurs and learning is interrupted. ``` [TRAIN] Iter: 40300 Loss: 0.011321269907057285 PSNR: 23.059185028076172 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎ 11%|█████████████████████▎...

Hi, In **nerf-pytorch**, inappropriate dependency versioning constraints can cause risks. Below are the dependencies and version constraints that the project is using ``` torch==1.11.0 torchvision>=0.9.1 imageio imageio-ffmpeg matplotlib configargparse tensorboard>=2.0...

Hello, thank you for this project :) I got a problem while training on a scene. When I extracted the camera poses from COLMAP this is the output https://user-images.githubusercontent.com/19538303/142732551-c89f3ed4-06c9-4567-a4d4-d2d5e3272bd9.mp4 the...

Fixed issue #59 problem that someone have encountered. This problem is likely due to the ***nan*** value of `disp` after rendering.