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--------------------------------------------------- ---------------------------------------------------
---
![block](assets/teaserfig.png) ![block](assets/teaserfig.png)
Our method converges very quickly and achieves real-time rendering speed. Our method converges very quickly and achieves real-time rendering speed.
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## Training ## 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 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. There are some helpful scripts in `scripts/`, please feel free to use them.
--- ---
## Contributions
**This project is still under development. Please feel free to raise issues or submit pull requests to contribute to our codebase.**
---
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. 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 ## Acknowledgement