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![block](assets/teaserfig.png)
Our method converges very quickly and achieves real-time rendering speed.
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## Training
For training synthetic scenes such as `lego`, run
For training synthetic scenes such as `bouncingballs`, run
```
python train.py -s data/dnerf/bouncingballs --port 6017 --expname "dnerf/bouncingballs" --configs arguments/dnerf/bouncingballs.py
```
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There are some helpful scripts in `scripts/`, please feel free to use them.
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## Contributions
**This project is still under development. Please feel free to raise issues or submit pull requests to contribute to our codebase.**
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Some source code of ours is borrowed from [3DGS](https://github.com/graphdeco-inria/gaussian-splatting), [k-planes](https://github.com/Giodiro/kplanes_nerfstudio),[HexPlane](https://github.com/Caoang327/HexPlane), [TiNeuVox](https://github.com/hustvl/TiNeuVox). We sincerely appreciate the excellent works of these authors.
## Acknowledgement