Papers/2610.30326
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R4DGS: Referring Segmentation in 4D Gaussian Splatting

Chen Bangpu, Author 2, Author 3, Author 4, Author 5

4D Gaussian Splattingmultimodaldynamic scenesnatural language processing
2610.30326
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Abstract

This paper introduces R4DGS, a method for grounding complex natural-language referring in dynamic 4D scenes using a unified framework called ReferGaussian.

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Core Claim

R4DGS achieves improved temporal target selection and competitive spatiotemporal grounding without the need for scene-specific semantic training.

Method / Result

Demonstrated improved performance on the R4D-Bench-QA benchmark.

Limitations

The method may still face challenges in generalizing to highly complex or novel dynamic scenes not represented in the training data.

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