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This work introduces Dyn-3D, a benchmark using counterfactual 3D rendering to rigorously decouple visual changes from true kinematic properties and proposes the TempoVista framework, featuring the Kinematic-GSPO algorithm.
CausalSplat is a framework that integrates vision-language models with 3D scene graphs to disentangle explicit structural perception from implicit logical inference and achieves state of the art performance on reasoning benchmarks while showing strong generalizability on standard referring and open vocabulary 3D segmen...
ZeroSplat lifts 2D Vision-Language Model priors into 3D space through robust multi-view geometric constraints and enables intrinsic point-level understanding without incurring any additional feature storage, and significantly outperforms state-of-the-art methods across generalized and single-target scenarios while main...
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