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<sup>\*</sup> Equal Contributions. <sup>$\ddagger$</sup> Project Lead. <sup>✉</sup> Corresponding Author. <sup>\*</sup> Equal Contributions. <sup>$\ddagger$</sup> Project Lead. <sup>✉</sup> Corresponding Author.
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![block](assets/teaserfig.jpg) ![block](assets/teaserfig.jpg)
Our method converges very quickly and achieves real-time rendering speed. Our method converges very quickly and achieves real-time rendering speed.
@ -264,14 +264,20 @@ In my paper, I always use `colmap.sh` to generate dense point clouds and downsam
Here are some codes maybe useful but never adopted in my paper, you can also try it. Here are some codes maybe useful but never adopted in my paper, you can also try it.
## Further works ## Awesome Concurrent/Related Works
We sincerely thank the authors and their fantastic works for other applications based on our code. Welcome to also check out these awesome concurrent/related works, including but not limited to
[Deformable 3D Gaussians for High-Fidelity Monocular Dynamic Scene Reconstruction](https://ingra14m.github.io/Deformable-Gaussians/)
[SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes](https://yihua7.github.io/SC-GS-web/)
[MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes](https://md-splatting.github.io/) [MD-Splatting: Learning Metric Deformation from 4D Gaussians in Highly Deformable Scenes](https://md-splatting.github.io/)
[4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency](https://vita-group.github.io/4DGen/) [4DGen: Grounded 4D Content Generation with Spatial-temporal Consistency](https://vita-group.github.io/4DGen/)
[Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models](https://github.com/VITA-Group/Diffusion4D)
[DreamGaussian4D: Generative 4D Gaussian Splatting](https://github.com/jiawei-ren/dreamgaussian4d) [DreamGaussian4D: Generative 4D Gaussian Splatting](https://github.com/jiawei-ren/dreamgaussian4d)
[EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://github.com/yifliu3/EndoGaussian) [EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://github.com/yifliu3/EndoGaussian)
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[Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting](https://arxiv.org/abs/2401.16416) [Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting](https://arxiv.org/abs/2401.16416)
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## Contributions ## Contributions
**This project is still under development. Please feel free to raise issues or submit pull requests to contribute to our codebase.** **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. 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), [Depth-Rasterization](https://github.com/ingra14m/depth-diff-gaussian-rasterization). We sincerely appreciate the excellent works of these authors.
## Acknowledgement ## Acknowledgement