2024/11/19 by J. Sharmila Joseph, Joseph, Joji, Bharadwaj Amrutur +3
Engineering · Computer Science · #Industrial Vision Systems and Defect Detection #Image Processing Techniques and Applications #Video Surveillance and Tracking Methods
paper · pdf · doi:10.48550/arxiv.2411.15193
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.