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GenS: Generative Frame Sampler for Long Video Understanding
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GenS: Generative Frame Sampler for Long Video Understanding
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2026-02-20 16:26:24
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GenS: Generative Frame Sampler for Long Video Understanding GenS: Generative Frame Sampler for Long Video Understanding Linli Yao 1 , Haoning Wu 1 , Kun Ouyang 1 , Yuanxing Zhang 1 , Caiming Xiong 2 , Bei Chen , Xu Sun 1 * , Junnan Li 2 * 1 Peking University, 2 Salesforce AI Research * Corresponding Authors Paper Code GenS-Video-150K Dataset Checkpoints Abstract We introduce the Generative Frame Sampler (GenS) , a novel approach that identifies question-relevant frames from long videos spanning minutes to hours. Given a long video and a user question, GenS effectively searches through the original massive collection of frames to produce a concise selection and enhances the performance of downstream VideoQA Assistants (such as Qwen2-VL, LLaVA-Video, VILA-v1.5, and Aria) by providing fewer but more informative frames. To enable effective frame sampling, we present GenS-Video-150K , a synthetic VideoQA training dataset featuring dense...
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