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Evaluating mathematical reasoning of foundation models in visual contexts
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2026-02-28 17:57:42
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SAM2Point: Segment Any 3D as Videos in Zero-shot and Promptable Manners Sam2Point Segment Any 3D as Videos in Zero-shot and Promptable Manners Ziyu Guo* 1 , Renrui Zhang* 2, 3 , Xiangyang Zhu* 4 , Chengzhuo Tong 4 , Peng Gao 4 , Chunyuan Li 3 , Pheng-Ann Heng 1 1 CUHK MiuLar Lab, 2 CUHK MMLab, 3 ByteDance, 4 Shanghai AI Laboratory Paper Code 🤗 Huggingface Demo Introduction We introduce Sam2Point , a preliminary exploration adapting Segment Anything Model 2 (SAM 2) for zero-shot and promptable 3D segmentation. Our framework supports various prompt types, including 3D points, boxes, and masks , and can generalize across diverse scenarios, such as 3D objects, indoor scenes, outdoor scenes, and raw LiDAR . The Segmentation Paradigm of Sam2Point . To our best knowledge, Sam2Point presents the most faithful implementation of SAM in 3D , demonstrating superior implementation efficiency, promptab...
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