nerf-pytorch
nerfmm
| nerf-pytorch | nerfmm | |
|---|---|---|
| 3 | 2 | |
| 5,052 | 539 | |
| - | 0.7% | |
| 0.0 | 2.0 | |
| 4 months ago | 9 months ago | |
| Python | Python | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nerf-pytorch
-
[D] Something basic I don't understand about Nerfs
Found relevant code at https://github.com/yenchenlin/nerf-pytorch + all code implementations here
-
helpful pointers to state-of-the-art material for depth estimation from multi-view videos captured from cameras with arbitrary poses.
I have been curious about NeRF and have tried out the software. I really like the idea, but I have found generating the NeRF representation to be too slow and does not do seem to do too well if the number of cameras in the rig are a bit sparse. I have seen that there have been some evolution and variations of the NeRF concept and I am looking into some of them currently.
-
[P] Minimal PyTorch implementation of NeRF. Full model implementation and training code in 320 lines.
While there are other PyTorch implementations out there (e.g., this one and this one), I personally found them somewhat difficult to follow, so I decided to do a complete rewrite of NeRF myself. I tried to stay as close to the authors' text as possible, and I added comments in the code referring back to the relevant sections/equations in the paper. The final result is a tight 374 lines of heavily commented code (320 sloc—"source lines of code"—on GitHub) all contained in a single file. For comparison, this PyTorch implementation has approximately 970 sloc spread across several files, while this PyTorch implementation has approximately 905 sloc. A Colab notebook for the full model can be found here.
nerfmm
What are some alternatives?
instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
pytorch-nerf - Minimal PyTorch implementations of NeRF and pixelNeRF.
3d-photo-inpainting - [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
nerf-pytorch - A PyTorch re-implementation of Neural Radiance Fields
Hierarchical-Localization - Visual localization made easy with hloc
OpenMVG (open Multiple View Geometry) - open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
pi-GAN-pytorch - Implementation of π-GAN, for 3d-aware image synthesis, in Pytorch
depthai - DepthAI Python API utilities, examples, and tutorials.
lightweight-human-pose-estimation.pytorch - Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
colmap - COLMAP - Structure-from-Motion and Multi-View Stereo
multinerf - A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF