Researchers propose SparseTalk, a method that compresses the semantic features stored in 3D Gaussian language fields used for 3D visual question answering. Dense scene representations can require tens of thousands of embeddings, driving up storage and memory costs. The approach aims to cut that redundancy while preserving performance on 3D VQA tasks.
A new arXiv preprint presents RouteBridge, a framework for transferring knowledge between neural radiance fields and 3D Gaussian Splatting, two 3D scene representations with complementary strengths. Rather than fixing one representation as the teacher for an entire scene, the method routes distillation bidirectionally, relying on the more reliable representation for each part of the scene.
A new arXiv paper frames novel-view synthesis with 3D Gaussian Splatting as a structured regression problem and applies conformal prediction to it. The goal is to give rendered views formal statistical coverage guarantees, going beyond uncertainty heatmaps that offer no such certification. The approach is aimed at settings where rendered outputs must meet verifiable reliability standards.