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| .idea | 4 years ago | |
| configs | 4 years ago | |
| .gitignore | 4 years ago | |
| README.md | 4 years ago | |
| data_loader_split.py | 4 years ago | |
| data_verifier.py | 4 years ago | |
| ddp_model.py | 4 years ago | |
| ddp_test_nerf.py | 4 years ago | |
| ddp_train_nerf.py | 4 years ago | |
| environment.yml | 4 years ago | |
| nerf_network.py | 4 years ago | |
| nerf_sample_ray_split.py | 4 years ago | |
| utils.py | 4 years ago | |
README.md
NeRF++
Codebase for paper:
- Work with 360 capture of large-scale unbounded scenes.
- Support multi-gpu training and inference.
Data
- Download our preprocessed data from tanks_and_temples, lf_data.
- Put the data in the code directory.
- Data format. ** Each scene consists of 3 splits: train/test/validation. ** Intrinsics and poses are stored as flattened 4x4 matrices. ** Opencv camera coordinate system is adopted, i.e., x--->right, y--->down, z--->scene.
- Scene normalization: move the average camera center to origin, and put all the camera centers inside the unit sphere.
Training
python ddp_train_nerf.py --config configs/tanks_and_temples/tat_training_truck.txt
Testing
python ddp_test_nerf.py --config configs/tanks_and_temples/tat_training_truck.txt --render_splits test,camera_path