Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting
2024-11-19Code Available1· sign in to hype
Joji Joseph, Bharadwaj Amrutur, Shalabh Bhatnagar
Code Available — Be the first to reproduce this paper.
ReproduceCode
- github.com/JojiJoseph/3dgs-gradient-backprojectionOfficialpytorch★ 21
Abstract
We introduce a training-free method for feature field rendering in Gaussian splatting. Our approach back-projects 2D features into pre-trained 3D Gaussians, using a weighted sum based on each Gaussian's influence in the final rendering. While most training-based feature field rendering methods excel at 2D segmentation but perform poorly at 3D segmentation without post-processing, our method achieves high-quality results in both 2D and 3D segmentation. Experimental results demonstrate that our approach is fast, scalable, and offers performance comparable to training-based methods.