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TR-GS achieves superior volumetric rendering quality in sparse-view CT by leveraging t-distribution primitives and a novel ray-confidence model, significantly reducing artifacts and uncertainty.
Current video MLLMs struggle to grasp fleeting visual events, with top models barely surpassing 39% accuracy on critical momentary tasks.
