MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds
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Abstract (arXiv)
Recent sparse multi-view scene reconstruction advances like DUSt3R and MASt3R no longer require camera calibration and camera pose estimation. However, they only process a pair of views at a time to infer pixel-aligned pointmaps. When dealing with more than two views, a combinatorial number of error prone pairwise reconstructions are usually followed by an expensive global optimization, which often fails to rectify the pairwise reconstruction errors. To handle more views, reduce errors, and improve inference time, we propose the fast single-stage feed-forward network MV-DUSt3R. At its core are multi-view decoder blocks which exchange information across any number of views while considering one reference view. To make our method robust to reference view selection, we further propose MV-DUSt3R+, which employs cross-reference-view blocks to fuse information across different reference view choices. To further enable novel view synthesis, we extend both by adding and jointly training Gaussian splatting heads. Experiments on multi-view stereo reconstruction, multi-view pose estimation, and novel view synthesis confirm that our methods improve significantly upon prior art. Code will be released.
Key facts. Cited by 141 papers in the map (data through 14 Oct 2026). Builds on 68 of its 99 references that are in the map. First posted on arXiv 9 Dec 2024.
Builds on
68 of 99 references.
References · 68
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50 most cited of 68 All 68 (JSON)
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Citing papers per year: 2025: 71; 2026: 70.
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50 newest of 141 All 141 (JSON)
- 2025VGGT: Visual Geometry Grounded Transformercited by 1,539
- 2025Depth Anything 3: Recovering the Visual Space from Any Viewscited by 692
- 2025π3: Permutation-Equivariant Visual Geometry Learningcited by 319
- 2025MapAnything: Universal Feed-Forward Metric 3D Reconstructioncited by 314
- 2025AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Viewscited by 243
- 2025ViPE: Video Pose Engine for 3D Geometric Perceptioncited by 170
- 2025Streaming 4D Visual Geometry Transformercited by 161
- 2025Easi3R: Estimating Disentangled Motion from DUSt3R Without Trainingcited by 91
- 2025LONG3R: Long Sequence Streaming 3D Reconstructioncited by 45
- 2025FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesiscited by 37
- 2025MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Secondcited by 35
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12 most cited of 124 All 124 (JSON)
- 2026MvFFN: Multi-view Floor plan Feed-forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction9 Oct 2026
- 2026CompactSplat: Spatially Adaptive Gaussian Distribution for Feedforward Scene Reconstruction9 Oct 2026
- 2026SCOPE-4D: Endoscopic 4D Geometry Foundation Models1 Oct 2026
- 2026Does the VGGT Family Need All Its Layers?29 Sep 2026
- 2026OTT3R: Multi-View 3D Reconstruction and Fast Dataset Generation at 1% Compute28 Sep 2026
- 2026AMB3R-SLAM: Kilometer-scale SLAM with Hierarchical Backend17 Sep 2026
- 2026SAMV-DUSt3R: Instance-Centric 3D Scene Decoupling from Sparse Multi-Views10 Sep 2026
- 2026BLASt3R: Bundle Adjustment of Any Image Set with Multi-View Matching and Monocular Priors4 Sep 2026
- 2026Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction3 Sep 2026
- 2026VI3: Grounding Pretrained 3D Foundation Models with Inertial Cues3 Sep 2026
- 2026Revisiting Local Context for Long-Horizon Streaming 3D Reconstruction27 Aug 2026
- 2026MV2GF: Multi-view Pedestrian Detection with a Visual Geometric Foundation Model21 Aug 2026
12 newest of 124 All 124 (JSON)