SLAM-Former: Putting SLAM into One Transformer
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Abstract (arXiv)
We present SLAM-Former, a neural approach that integrates full SLAM capabilities into a single transformer. Similar to traditional SLAM systems, SLAM-Former comprises both a frontend and a back-end that operate in tandem. The frontend processes sequential monocular images in real-time for incremental mapping and tracking, while the backend performs global refinement to ensure a geometrically consistent result. This alternating execution allows the frontend and back-end to mutually promote one another, enhancing overall system performance. Comprehensive experimental results demonstrate that SLAM- Former achieves superior or highly competitive performance compared to state-of-the-art dense SLAM methods.
Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 38 of its 47 references that are in the map. First posted on arXiv 21 Sep 2025.
Builds on
38 of 47 references.
References · 38
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
- 2017ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenescited by 3,117
- 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,567
- 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
- 2015ORB-SLAM: a Versatile and Accurate Monocular SLAM Systemcited by 988
- 2024Grounding Image Matching in 3D with MASt3Rcited by 983
- 2019The Replica Dataset: A Digital Replica of Indoor Spacescited by 904
- 2020ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAMcited by 878
- 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 788
- 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 764
- 2018MegaDepth: Learning Single-View Depth Prediction from Internet Photoscited by 737
- 2021DROID-SLAM: Deep Visual SLAM for Monocular, Stereo, and RGB-D Camerascited by 687
26 more
- 2020Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understandingcited by 604
- 2025Continuous 3D Perception Model with Persistent Statecited by 548
- 2019BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networkscited by 490
- 2021ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Datacited by 454
- 2025Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Passcited by 367
- 2023GS-SLAM: Dense Visual SLAM with 3D Gaussian Splattingcited by 278
- 2018DeepMVS: Learning Multi-view Stereopsiscited by 277
- 20243D Reconstruction with Spatial Memorycited by 277
- 2024MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priorscited by 205
- 2022NeRF-SLAM: Real-Time Dense Monocular SLAM with Neural Radiance Fieldscited by 188
- 2018DeepV2D: Video to Depth with Differentiable Structure from Motioncited by 185
- 2025DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Modelscited by 181
- 2023NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAMcited by 164
- 2025Streaming 4D Visual Geometry Transformercited by 161
- 2018CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAMcited by 152
- 2025VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifoldcited by 136
- 2023GO-SLAM: Global Optimization for Consistent 3D Instant Reconstructioncited by 133
- 2020DeepFactors: Real-Time Probabilistic Dense Monocular SLAMcited by 117
- 2024SLAM3R: Real-Time Dense Scene Reconstruction from Monocular RGB Videoscited by 102
- 2025STream3R: Scalable Sequential 3D Reconstruction with Causal Transformercited by 82
- 2024Deep Patch Visual SLAMcited by 71
- 2025LONG3R: Long Sequence Streaming 3D Reconstructioncited by 45
- 2023Dense RGB SLAM with Neural Implicit Mapscited by 42
- 2021TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereocited by 39
- 2025ViSTA-SLAM: Visual SLAM with Symmetric Two-view Associationcited by 16
- 2024SceneFactory: A Workflow-centric and Unified Framework for Incremental Scene Modelingcited by 3
Built on by
Citing papers per year: 2025: 1; 2026: 8.
9 papers.
- 2025AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backendcited by 20
- 2026Efficient Feature-Free Initialization for Monocular Visual-Inertial Systems Using a Feed-Forward 3D Modelcited by 1
- 2026SLAMFormer-∞: Infinite SLAM Transformer for Unbounded Frontend and Backend Processingcited by 1
- 2026BA-T: An Iterative Transformer for Two-View Bundle Adjustmentcited by 0
- 2026Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstructioncited by 0
- 2026AMB3R-SLAM: Kilometer-scale SLAM with Hierarchical Backendcited by 0
- 2026World SLAM Model: Joint World Modeling for SLAM and Navigationcited by 0
- 2026F2 SLAM: Turning Feed-Forward Geometry into Persistent Factors for SLAMcited by 0
- 2026Remember, Revisit, Revise: Scaffold Memory for Long-Horizon 3D Geometrycited by 0
- 2026Remember, Revisit, Revise: Scaffold Memory for Long-Horizon 3D Geometry14 Oct 2026
- 2026F2 SLAM: Turning Feed-Forward Geometry into Persistent Factors for SLAM4 Oct 2026
- 2026World SLAM Model: Joint World Modeling for SLAM and Navigation26 Sep 2026
- 2026AMB3R-SLAM: Kilometer-scale SLAM with Hierarchical Backend17 Sep 2026
- 2026Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction3 Sep 2026
- 2026SLAMFormer-∞: Infinite SLAM Transformer for Unbounded Frontend and Backend Processing4 Aug 2026
- 2026BA-T: An Iterative Transformer for Two-View Bundle Adjustment2 Jun 2026
- 2026Efficient Feature-Free Initialization for Monocular Visual-Inertial Systems Using a Feed-Forward 3D Model17 May 2026
- 2025AMB3R: Accurate Feed-forward Metric-scale 3D Reconstruction with Backend25 Nov 2025