4D LangSplat: 4D Language Gaussian Splatting via Multimodal Large Language Models
Wanhua Li, Renping Zhou, Jiawei Zhou, Yingwei Song, Johannes Herter, Minghan Qin, Gao Huang, Hanspeter Pfister
2025年份
12顶会引用
摘要
Figure 1. Visualization of the learned language features of our 4D LangSplat. We observe that 4D LangSplat effectively learns dynamic semantic features that change over time, such as the gradual diffusion of coffee shown in the first two rows, and the "chicken" toggling between open and closed states in the latter two rows. Additionally, our semantic field captures consistent features for semantics that remain unchanged over time, with the clear object boundaries in the visualization demonstrating the precision of our semantic field.
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引用它的顶会 Paper12
- LangSplatV2: High-dimensional 3D Language Gaussian Splatting with 450+ FPSWanhua Li, Yujie Zhao, Minghan Qin, Yang Liu 等NeurIPS 2025 · 被引用 54 次
- Enhancing Vision-Language Model Reliability with Uncertainty-Guided Dropout DecodingYixiong Fang, Ziran Yang, Zhaorun Chen, Zhuokai Zhao 等NeurIPS 2025 · 被引用 21 次
- Quantifying and Alleviating Co-Adaptation in Sparse-View 3D Gaussian SplattingKangjie Chen, Yingji Zhong, Zhihao Li, Jiaqi Lin 等NeurIPS 2025 · 被引用 15 次
- DynamicVerse: A Physically-Aware Multimodal Framework for 4D World ModelingKairun Wen, Yuzhi Huang, Runyu Chen, Hui Zheng 等NeurIPS 2025 · 被引用 11 次
- Segment then Splat: Unified 3D Open-Vocabulary Segmentation via Gaussian SplattingYiren Lu, Yunlai Zhou, Yiran Qiao, Chaoda Song 等NeurIPS 2025 · 被引用 9 次
它引用的顶会 Paper37
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