Overview

3D scene understanding studies how to recover the geometry, objects, relationships, and often motion of environments from images, depth, and LiDAR. Common approaches include point-cloud and voxel networks, occupancy prediction, Gaussian splatting, and 3D scene graphs, increasingly combined with vision-language models for grounding and reasoning. These representations support tasks such as robot navigation and manipulation, autonomous driving, scene reconstruction, and open-vocabulary object retrieval. A central challenge is making systems both spatially reliable and efficient in large, changing scenes, while benchmarks continue to expose gaps in metric reasoning, cross-view consistency, and generalization.

Latest papers

CardsList

295 papers34 papers in the last four weeks, up 17% on the four weeks before. 0.2% of all new papers.

  1. GenMatter: Perceiving Physical Objects with Generative Matter Models

    Apr 24, 2026Eric Li, Arijit Dasgupta, Yoni Friedman +5Video Object SegmentationMotion Segmentation

  2. IMU4D: 4D Human-Object Understanding from Wearable IMUs

    Apr 23, 2026Hao-Yu Hsu, Tianhang Cheng, Jing Wen +24D ReconstructionWearable Sensing

  3. Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding

    Apr 21, 2026Kadir Yilmaz, Adrian Kruse, Tristan Höfer +23D ViTs3D Semantic Segmentation

  4. Feasibility of Indoor Frame-Wise Lidar Semantic Segmentation via Distillation from Visual Foundation Model

    Apr 20, 2026Haiyang Wu, Juan J. Gonzales Torres, George Vosselman +1Cross-Modal Knowledge DistillationVision Foundation Model Adaptation

  5. Geometry-Guided 3D Visual Token Pruning for Video-Language Models

    Apr 20, 2026Han Li, Zehao Huang, Jiahui Fu +2Visual Token PruningVisual Token Compression

  6. PLAF: Pixel-wise Language-Aligned Feature Extraction for Efficient 3D Scene Understanding

    Apr 17, 2026Junjie Wen, Junlin He, Fei Ma +13D Scene Representation3D Representation Learning

  7. Multi-modal panoramic 3D outdoor datasets for place categorization

    Apr 14, 2026Hojung Jung, Yuki Oto, Oscar M. Mozos +23D Scene UnderstandingMultimodal Classification

  8. GS4City: Hierarchical Semantic Gaussian Splatting via City-Model Priors

    Apr 13, 2026Qilin Zhang, Jinyu Zhu, Olaf Wysocki +23D Scene Representation3D Scene Understanding

  9. GTASA: Ground Truth Annotations for Spatiotemporal Analysis, Evaluation and Training of Video Models

    Apr 12, 2026Nicolae Cudlenco, Mihai Masala, Marius LeordeanuSynthetic Data GenerationVideo Representation Learning

  10. MAG-3D: Multi-Agent Grounded Reasoning for 3D Understanding

    Apr 10, 2026Henry Zheng, Chenyue Fang, Rui Huang +33D Spatial Reasoning3D Scene Understanding

  11. OpenSpatial: A Principled Data Engine for Empowering Spatial Intelligence

    Apr 8, 2026Jianhui Liu, Haoze Sun, Wenbo Li +113D Spatial ReasoningSynthetic Data Generation

  12. Let Geometry GUIDE: Layer-wise Unrolling of Geometric Priors in Multimodal LLMs

    Apr 7, 2026Chongyu Wang, Ting Huang, Chunyu Sun +3Multimodal Large Language Models3D VLMs

  13. PointTPA: Dynamic Network Parameter Adaptation for 3D Scene Understanding

    Apr 6, 2026Siyuan Liu, Chaoqun Zheng, Xin Zhou +33D Scene UnderstandingTest-Time Adaptation

  14. FunFact: Building Probabilistic Functional 3D Scene Graphs via Factor-Graph Reasoning

    Apr 4, 2026Zhengyu Fu, René Zurbrügg, Kaixian Qu +43D SGG3D Scene Understanding

  15. RGB-Pointmap Pretraining for Unified 3D Scene Understanding

    Apr 2, 2026Ye Mao, Weixun Luo, Ranran Huang +23D Foundation ModelsMulti-View Learning

  16. Lifting Unlabeled Internet-level Data for 3D Scene Understanding

    Apr 2, 2026Yixin Chen, Yaowei Zhang, Huangyue Yu +93D Scene Understanding

  17. A3R: Agentic Affordance Reasoning via Cross-Dimensional Evidence in 3D Gaussian Scenes

    Apr 2, 2026Di Li, Jie Feng, Guanbin Li +43D Scene Understanding3D Visual Grounding

  18. LESV: Language Embedded Sparse Voxel Fusion for Open-Vocabulary 3D Scene Understanding

    Apr 1, 2026Fusang Wang, Nathan Piasco, Moussab Bennehar +3Point Cloud Understanding3D Scene Understanding

  19. SceneTeract: Probing and Improving Agent-Aware Activity Reasoning in 3D Indoor Scenes

    Mar 31, 2026Léopold Maillard, Francis Engelmann, Tom Durand +43D Spatial ReasoningEmbodied AI

  20. TreeGaussian: Tree-Guided Cascaded Contrastive Learning for Hierarchical Consistent 3D Gaussian Scene Segmentation and Understanding

    Mar 31, 2026Jingbin You, Zehao Li, Hao Jiang +83D Semantic Segmentation3D Scene Understanding

  21. Pandora: Articulated 3D Scene Graphs from Egocentric Vision

    Mar 30, 2026Alan Yu, Yun Chang, Christopher Xie +13D Scene Representation3D Scene Understanding

  22. AffordMatcher: Affordance Learning in 3D Scenes from Visual Signifiers

    Mar 30, 2026Nghia Vu, Tuong Do, Khang Nguyen +83D Scene Understanding

  23. GS3LAM: Gaussian Semantic Splatting SLAM

    Mar 29, 2026Linfei Li, Lin Zhang, Zhong Wang +13D Semantic Mapping3DGS SLAM

  24. Chat-Scene++: Exploiting Context-Rich Object Identification for 3D LLM

    Mar 29, 2026Haifeng Huang, Yilun Chen, Zehan Wang +23D VLMs3D Scene Understanding

  25. SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning

    Mar 28, 2026Jian Zhang, Shijie Zhou, Bangya Liu +23D Spatial Reasoning3D VLMs

  26. 3D-IDE: 3D Implicit Depth Emergent

    Mar 28, 2026Chushan Zhang, Ruihan Lu, Jinguang Tong +23D VLMs3D Scene Understanding

  27. GLASS: Geometry-aware Local Alignment and Structure Synchronization Network for 2D-3D Registration

    Mar 27, 2026Zhixin Cheng, Jiacheng Deng, Xinjun Li +52D-3D Image RegistrationPoint Cloud Registration