Sparse-input reconstruction
Key facts. Sparse-input reconstruction: 883 papers on arXiv since 2021 (data through 19 Oct 2026). 270 of its 883 mapped papers (31%) cite “DUSt3R: Geometric 3D Vision Made Easy” (2023, arXiv 2312.14132). 42 new papers 1 Oct–19 Oct.
What’s new
1 Oct – 19 Oct 2026
42 new papers, 1 Oct – 19 Oct; 0 this week.
- Earlier · 42
- ReDT: Resolution-Decoupled Visual Geometry Transformer
- LonGaussian: Tracking Foundation Priors for Long-Context Feedforward Gaussian Reconstruction also fits: Semantic 3D scene understanding and robotics
- Motion- and Gravity-Aware Feedforward 3D Reconstruction
- GeoPano: Towards Geometrically Accurate 3D Reconstruction from a Single Panorama also fits: Neural surface reconstruction
- ESC: Escaping 2D Diffusion Ambiguity with Geometric Constraints for Consistent Novel View Synthesis
- InfiniSplat v2: Analyzing and Improving Feed-Forward 3DGS from Any Views also fits: 3D Gaussian splatting methods
- Remember, Revisit, Revise: Scaffold Memory for Long-Horizon 3D Geometry
- MagicGarment: Benchmarking Single-Image Standalone 3D Garment Reconstruction also fits: Avatars
- Holi-Spatial 360: Generative Reconstruction from Sparse Panoramas for Spatial Rendering and Intelligence
- 3D-VITAL: Visibility-aware Identity Training from Artificial Liftings of 3D Reconstruction model for Cross-View Object Re-Identification
All 42
- BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
- Graph3R: Unifying View Graph Initialization with Feed-Forward Reconstruction
- Sharper Frames, Worse Rooms: Viewpoint Coverage Dominates Image Quality in Feed-Forward 3D Reconstruction
- UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space also fits: Neural surface reconstruction
- Drive3R: Block-wise Streaming Geometric Foundation Models for Autonomous Driving also fits: SLAM and driving scene reconstruction
- PURE: Refining Feed-forward 3D Reconstruction with Unlabeled Post-training
- Demiurge: Forging Navigable 4D Worlds via Autoregressive Video Rerendering also fits: Dynamic scene reconstruction
- NOFACE3D: NOise-scheduled Focused Anchoring and Controlled Enhancement for 3D Generation also fits: Neural surface reconstruction
- Zebra3D: Efficient Hybrid Foundation Models For Scalable 3D Reconstruction
- LEGO: A Lifting-Free Approach for Exocentric-to-Egocentric Video Generation
- Slot3R: Set-Associative Spatial Memory for Streaming 3D Reconstruction
- Pose-Free Feed-Forward 3D Inpainting via Learnable Mask Attention and Support Token Refinement
- Tetris3D: 3D Scene Generation With Objects That Fit Together
- OmniCam: Omni-Camera Trajectory Generation via Geometry-Grounded Pose Token Learning also fits: Semantic 3D scene understanding and robotics
- Hardware-aware Calibrated Clustered Attention for Efficient Visual Geometric Transformers
- RDGSplat: Render-Dedicated Geometry for Novel View Synthesis
- Revar3r: gauge-aware perturbation uncertainty for feed-forward 3d reconstruction
- AIMS: Anchor-Integrated Multi-View Synthesis for Scalable Novel View Rendering
- Less Context, Better Geometry: Masked Geometric Encoder for Robust 3D Foundation Models
- VGGT-Bridge: Beyond Sequential Pose Graphs via Coarse-Stride Skip Edges
- Every View Counts: View-Consistent Panoptic Quality for Multi-view Panoptic Segmentation
- NAMVIS: Next-Scale Autoregressive Multi-View Image Synthesis
- Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis
- Feedforward Novel View Synthesis for Heterogeneous Cameras
- I2CD: Direct Image-to-Convex Decomposition for Simulation-Ready Collision Geometry also fits: Semantic 3D scene understanding and robotics
- T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images
- CLoSeR: Closing the Loop for Long-Context Streaming Reconstruction
- DecomVoxel: Harnessing 3D-Native Priors with Guided In-situ Denoising Optimization for Decompositional Scene Reconstruction
- ARROW: Arbitrary Reconstruction and Tracking of 4D Observations in the Wild
- MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images also fits: Multi-view stereo and depth estimation
- HierGF: Hierarchical Gaussian Fields via Geometry-perception Message Passing for Sparse-view 3D Reconstruction also fits: 3D Gaussian splatting methods
- VASC: Value-Aware Sparse Attention with Cross-Layer Memory for Efficient 3D Reconstruction
Foundations
Most cited by papers here
- DUSt3R: Geometric 3D Vision Made Easy2023cited by 270 here
- Zero-1-to-3: Zero-shot One Image to 3D Object2023cited by 235 here
- Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction2021cited by 164 here
- LRM: Large Reconstruction Model for Single Image to 3D2023cited by 138 here
- Continuous 3D Perception Model with Persistent State2025cited by 127 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2021Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fieldscited by 127 here
- 2021Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fieldscited by 144 here
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 207 here
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 101 here
- 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 235 here
- 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 115 here
- 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 138 here
- 2024CAT3D: Create Anything in 3D with Multi-View Diffusion Modelscited by 105 here
- 2025Continuous 3D Perception Model with Persistent Statecited by 127 here
15 more it builds on, not in this chain
- 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 122 here
- 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 117 here
- 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 120 here
- 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 164 here
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 103 here
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 383 here
- 2023ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenescited by 100 here
- 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 126 here
- 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 105 here
- 2023ReconFusion: 3D Reconstruction with Diffusion Priorscited by 86 here
- 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 106 here
- 2023DUSt3R: Geometric 3D Vision Made Easycited by 270 here
- 2023DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Visioncited by 115 here
- 2024MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Imagescited by 94 here
- 2025Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Passcited by 106 here
The 24 most cited of 1,859.
Browse
30 of 883, ranked 6–35
- 6SyncDreamer: Generating Multiview-consistent Images from a Single-view Image2023126
- 7IBRNet: Learning Multi-View Image-Based Rendering2021122
- 8DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision2023115
- 9Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass2025106
- 10CAT3D: Create Anything in 3D with Multi-View Diffusion Models2024105
- 11Wonder3D: Single Image to 3D using Cross-Domain Diffusion2023105
- 12ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes2023100
- 13ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis202486
- 143D Reconstruction with Spatial Memory202484
- 15Generative Novel View Synthesis with 3D-Aware Diffusion Models202383
All 30
- 16Novel View Synthesis with Diffusion Models202283
- 17Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations202174
- 18SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion202467
- 19Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors202367
- 20LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias202465
- 21MapAnything: Universal Feed-Forward Metric 3D Reconstruction202561
- 22RealFusion: 360deg Reconstruction of Any Object from a Single Image202358
- 23One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion202355
- 24FLARE: Feed-forward Geometry, Appearance and Camera Estimation from Uncalibrated Sparse Views202553
- 25OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation202352
- 26TTT3R: 3D Reconstruction as Test-Time Training202551
- 27Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior202350
- 28MUSt3R: Multi-view Network for Stereo 3D Reconstruction202546
- 29SparseFusion: Distilling View-conditioned Diffusion for 3D Reconstruction202246
- 30Streaming 4D Visual Geometry Transformer202545
- 31DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Model202343
- 32RGBD Objects in the Wild: Scaling Real-World 3D Object Learning from RGB-D Videos202441
- 33MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Seconds202439
- 34PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction202339
- 35ReconX: Reconstruct Any Scene from Sparse Views with Video Diffusion Model202437