OpenScene: 3D Scene Understanding with Open Vocabularies
Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser
2023年份
218顶会引用
摘要
Figure 1 . Open-vocabulary 3D Scene Understanding. We propose OpenScene, a zero-shot approach to 3D scene understanding that co-embeds dense 3D point features with image pixels and text. The examples above show a 3D scene with surface points colored by how well they match a user-specified query string -yellow is highest, green is middle, blue is low. Because its features are language-based, OpenScene answers a wide variety of example queries, like "soft", "kitchen", or "work", without labeled 3D data.
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引用它的顶会 Paper218
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- OpenMask3D: Open-Vocabulary 3D Instance SegmentationAyça Takmaz, Elisabetta Fedele, Robert W. Sumner, Marc Pollefeys 等NeurIPS 2023 · 被引用 389 次
- An Embodied Generalist Agent in 3D WorldJiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu 等ICML 2024 · 被引用 361 次
- OpenShape: Scaling Up 3D Shape Representation Towards Open-World UnderstandingMinghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu 等NeurIPS 2023 · 被引用 267 次
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它引用的顶会 Paper23
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- Scaling Up Visual and Vision-Language Representation Learning With Noisy Text SupervisionChao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen 等ICML 2021 · 被引用 5,401 次
- SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR SequencesJens Behley, Martin Garbade, Andres Milioto, Jan Quenzel 等ICCV 2019 · 被引用 2,345 次
- Open-vocabulary Object Detection via Vision and Language Knowledge DistillationXiuye Gu, Tsung-Yi Lin, Weicheng Kuo, Yin CuiICLR 2022 · 被引用 1,274 次
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