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SparseTalk sparsifies 3D Gaussian language fields for 3D visual QA
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.