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Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following.

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NOC: High-Quality Neural Object Cloning with 3D Lifting of Segment Anything., , , , , , and . CoRR, (2023)ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding with GPT and Prototype Guidance., , , , , , and . CoRR, (2023)MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning., , , , , , , , , and . CoRR, (2023)PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning., , , , , and . CoRR, (2022)PointCLIP: Point Cloud Understanding by CLIP., , , , , , , , and . CoRR, (2021)DSPoint: Dual-scale Point Cloud Recognition with High-frequency Fusion., , , , , and . CoRR, (2021)SparseMAE: Sparse Training Meets Masked Autoencoders., , , , , , , , and . ICCV, page 16130-16140. IEEE, (2023)Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation., , , , , , and . AAAI, page 7595-7603. AAAI Press, (2023)FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection., , , , , , and . AAAI, page 16723-16731. AAAI Press, (2024)MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems?, , , , , , , , , and 1 other author(s). CoRR, (2024)