A gradient-weighted back-projection of 2D features onto 3D Gaussians yields fast 2D/3D segmentation and identity encoding at quality comparable to trained feature-field methods.
One-Shot Transfer of Affordance Regions? AffCorrs! In Proceed- ings of The 6th Conference on Robot Learning (CoRL), pages 550–560, 2023
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Gradient-Weighted Feature Back-Projection: A Fast Alternative to Feature Distillation in 3D Gaussian Splatting
A gradient-weighted back-projection of 2D features onto 3D Gaussians yields fast 2D/3D segmentation and identity encoding at quality comparable to trained feature-field methods.