Training-Free Target-Aware Refinement of 3D Gaussian Language Map
The authors propose a training-free method to refine existing 3D Gaussian language maps so they precisely locate user-specified targets while remaining capable of handling any new query words. This is done by blending visual features with target text embeddings using a mathematically derived coefficient, eliminating the need for manual tuning and ensuring robust localization for navigation tasks.