Ov3R: Open-Vocabulary Semantic 3D Reconstruction from RGB Videos
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Abstract (arXiv)
We present Ov3R, a novel framework for open-vocabulary semantic 3D reconstruction from RGB video streams, designed to advance Spatial AI. The system features two key components: CLIP3R, a CLIP-informed 3D reconstruction module that predicts dense point maps from overlapping clips while embedding object-level semantics; and 2D-3D OVS, a 2D-3D open-vocabulary semantic module that lifts 2D features into 3D by learning fused descriptors integrating spatial, geometric, and semantic cues. Unlike prior methods, Ov3R incorporates CLIP semantics directly into the reconstruction process, enabling globally consistent geometry and fine-grained semantic alignment. Our framework achieves state-of-the-art performance in both dense 3D reconstruction and open-vocabulary 3D segmentation, marking a step forward toward real-time, semantics-aware Spatial AI.
Key facts. Cited by 10 papers in the map (data through 14 Oct 2026). Builds on 53 of its 69 references that are in the map. First posted on arXiv 29 Jul 2025.
Builds on
53 of 69 references.
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38 more
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Citing papers per year: 2025: 2; 2026: 8.
10 papers.
- 2025GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generationcited by 23
- 2025Unified Semantic Transformer for 3D Scene Understandingcited by 8
- 2026Pano3D: Unified 3D Reconstruction and Panoptic Segmentationcited by 1
- 2026Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstructioncited by 0
- 2026Cross-Attentive Multiview Fusion of Vision-Language Embeddingscited by 0
- 2026Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereocited by 0
- 2026RSGPNet: Geometric Prompting for Remote Sensing Open-Vocabulary Semantic Segmentationcited by 0
- 2026MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videoscited by 0
- 2026GaussianDWM++: Language-Grounded 3D Gaussian Driving World Model for Unified Scene Understanding, Editing, and Multi-Modal Generationcited by 0
- 2026VOIM: Training-Free Open-Vocabulary 3D Instance Mapping for RGB-D and Monocular SLAMcited by 0
- 2026VOIM: Training-Free Open-Vocabulary 3D Instance Mapping for RGB-D and Monocular SLAM1 Sep 2026
- 2026GaussianDWM++: Language-Grounded 3D Gaussian Driving World Model for Unified Scene Understanding, Editing, and Multi-Modal Generation17 Aug 2026
- 2026MAGiSt3R: Multi-Agent Feed-forward 3D Reconstruction from Monocular RGB Videos16 Jul 2026
- 2026RSGPNet: Geometric Prompting for Remote Sensing Open-Vocabulary Semantic Segmentation25 Jun 2026
- 2026Pano3D: Unified 3D Reconstruction and Panoptic Segmentation12 Jun 2026
- 2026Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo16 Apr 2026
- 2026Cross-Attentive Multiview Fusion of Vision-Language Embeddings14 Apr 2026
- 2026Genie 4D: Semantic-Prior-Guided 4D Dynamic Scene Reconstruction10 Apr 2026
- 2025GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation29 Dec 2025
- 2025Unified Semantic Transformer for 3D Scene Understanding16 Dec 2025