diff --git a/README.md b/README.md index 1199bfb..bb00532 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ \* Equal Contributions. $\ddagger$ Project Lead. ✉ Corresponding Author. ---- + ![block](assets/teaserfig.jpg) 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. -## 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/) [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) [EndoGaussian: Real-time Gaussian Splatting for Dynamic Endoscopic Scene Reconstruction](https://github.com/yifliu3/EndoGaussian) @@ -281,15 +287,13 @@ We sincerely thank the authors and their fantastic works for other applications [Endo-4DGS: Endoscopic Monocular Scene Reconstruction with 4D Gaussian Splatting](https://arxiv.org/abs/2401.16416) ---- ## 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), [Depth-Rasterization](https://github.com/ingra14m/depth-diff-gaussian-rasterization). We sincerely appreciate the excellent works of these authors. ## Acknowledgement