3D-Mem: 3D Scene Memory for Embodied Exploration and Reasoning
Yuncong Yang, Han Yang, Jiachen Zhou, Peihao Chen, Hongxin Zhang, Yilun Du, Chuang Gan
2025年份
17顶会引用
摘要
Figure 1. With 3D-Mem, explored regions are represented by a set of Memory Snapshots capturing clusters of co-visible objects, i.e., the objects observable in a single image observation, along with their spatial relationships and background context, as shown in the bottom-left example. Unexplored regions are represented by navigable frontiers along with image observations, referred to as Frontier Snapshots.
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引用它的顶会 Paper17
- Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual TokensZeyuan Yang, Xueyang Yu, Delin Chen, Maohao Shen 等CVPR 2026 · 被引用 124 次
- Learning 3D Persistent Embodied World ModelsSiyuan Zhou, Yilun Du, Yuncong Yang, Lei Han 等NeurIPS 2025 · 被引用 34 次
- Describe Anything Anywhere At Any MomentNicolas Gorlo, Lukas Schmid, Luca CarloneCVPR 2026 · 被引用 27 次
- MSGNav: Unleashing the Power of Multi-modal 3D Scene Graph for Zero-Shot Embodied NavigationXun Huang, Shijia Zhao, Yunxiang Wang, Xin Lu 等CVPR 2026 · 被引用 19 次
- SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and HearingMingfei Chen, Zijun Cui, Xiulong Liu, Jinlin Xiang 等NeurIPS 2025 · 被引用 18 次
它引用的顶会 Paper17
- Learning Transferable Visual Models From Natural Language SupervisionAlec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh 等ICML 2021 · 被引用 47,906 次
- LoRA: Low-Rank Adaptation of Large Language ModelsEdward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu 等ICLR 2022 · 被引用 18,833 次
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationJunnan Li, Dongxu Li, Caiming Xiong, Steven C. H. HoiICML 2022 · 被引用 6,549 次
- Habitat: A Platform for Embodied AI ResearchManolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra 等ICCV 2019 · 被引用 1,863 次
- Segment Everything Everywhere All at OnceXueyan Zou, Jianwei Yang, Hao Zhang, Feng Li 等NeurIPS 2023 · 被引用 889 次
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