Reproduce “Instant Colorization of Gaussian Splats” on OpenResearch
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About this paper
Daniel Lieber, Alexander Mock, Nils Wandel
An analytical method for instantaneously projecting diverse 2D image information, such as colors, features, or segmentation masks, onto existing 3D Gaussian Splatting representations was introduced. This approach consistently outperforms iterative gradient-descent techniques, achieving up to a 10x speedup and higher accuracy for tasks like scene relighting and semantic segmentation.
Key insights
- The problem of projecting 2D information onto 3D Gaussian Splats can be effectively framed as a solvable linear system.
- Leveraging derivatives from existing differentiable Gaussian Splatting renderers allows for efficient calculation of Gaussian visibility and Spherical Harmonic basis functions.
- An analytical solution via the normal equation, combined with Tikhonov regularization, offers superior speed and stability over iterative optimization methods.
Summary by alphaXiv.
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