59 lines
2.6 KiB
Markdown
59 lines
2.6 KiB
Markdown
# NeRF++
|
|
Codebase for arXiv preprint ["NeRF++: Analyzing and Improving Neural Radiance Fields"](http://arxiv.org/abs/2010.07492)
|
|
* Work with 360 capture of large-scale unbounded scenes.
|
|
* Support multi-gpu training and inference with PyTorch DistributedDataParallel (DDP).
|
|
* Optimize per-image autoexposure (**experimental feature**).
|
|
|
|
## Demo
|
|
 
|
|
|
|
## Data
|
|
* Download our preprocessed data from [tanks_and_temples](https://drive.google.com/file/d/11KRfN91W1AxAW6lOFs4EeYDbeoQZCi87/view?usp=sharing), [lf_data](https://drive.google.com/file/d/1gsjDjkbTh4GAR9fFqlIDZ__qR9NYTURQ/view?usp=sharing).
|
|
* Put the data in the sub-folder data/ of this code directory.
|
|
* Data format.
|
|
* Each scene consists of 3 splits: train/test/validation.
|
|
* Intrinsics and poses are stored as flattened 4x4 matrices (row-major).
|
|
* Pixel coordinate of an image's upper-left corner is (column, row)=(0, 0), lower-right corner is (width-1, height-1).
|
|
* Poses are camera-to-world, not world-to-camera transformations.
|
|
* Opencv camera coordinate system is adopted, i.e., x--->right, y--->down, z--->scene. Similarly, intrinsic matrix also follows Opencv convention.
|
|
* To convert camera poses between Opencv and Opengl conventions, the following code snippet can be used for both Opengl2Opencv and Opencv2Opengl.
|
|
```python
|
|
import numpy as np
|
|
def convert_pose(C2W):
|
|
flip_yz = np.eye(4)
|
|
flip_yz[1, 1] = -1
|
|
flip_yz[2, 2] = -1
|
|
C2W = np.matmul(C2W, flip_yz)
|
|
return C2W
|
|
```
|
|
* Scene normalization: move the average camera center to origin, and put all the camera centers inside the unit sphere.
|
|
|
|
## Create environment
|
|
```bash
|
|
conda env create --file environment.yml
|
|
conda activate nerfplusplus
|
|
```
|
|
|
|
## Training (Use all available GPUs by default)
|
|
```python
|
|
python ddp_train_nerf.py --config configs/tanks_and_temples/tat_training_truck.txt
|
|
```
|
|
|
|
## Testing (Use all available GPUs by default)
|
|
```python
|
|
python ddp_test_nerf.py --config configs/tanks_and_temples/tat_training_truck.txt \
|
|
--render_splits test,camera_path
|
|
```
|
|
|
|
**Note**: due to restriction imposed by torch.distributed.gather function, please make sure the number of pixels in each image is divisible by the number of GPUs if you render images parallelly.
|
|
|
|
## Citation
|
|
Plese cite our work if you use the code.
|
|
```python
|
|
@article{kaizhang2020,
|
|
author = {Kai Zhang and Gernot Riegler and Noah Snavely and Vladlen Koltun},
|
|
title = {NeRF++: Analyzing and Improving Neural Radiance Fields},
|
|
journal = {arXiv:2010.07492},
|
|
year = {2020},
|
|
}
|
|
```
|