arXiv Computer Vision
P$^3$-VLM: A Point-based Alternative for Grounded 3D Vision-Language Models
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Scene-R1: Video-Grounded Large Language Models for 3D Scene Reasoning with Lightweight Annotations
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OpenGround: Planning-based Online Perception for Open-World 3D Visual Grounding
arXiv:2512. 23020v3 Announce Type: replace-cross Abstract: 3D visual grounding aims to locate objects based on natural language descriptions in 3D scenes.
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3D-RFT: Reinforcement Fine-Tuning for Video-based 3D Scene Understanding
arXiv:2603. 04976v2 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards ( RLVR ) has emerged as a transformative paradigm for enhancing the reasoning capabilities of Large Language Models ( LLMs), yet its potential in 3D scene understanding remains under-explored.