GS-LRM: Large Reconstruction Model for 3D Gaussian Splatting
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Cited by 56 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We propose GS-LRM, a scalable large reconstruction model that can predict high-quality 3D Gaussian primitives from 2-4 posed sparse images in 0.23 seconds on single A100 GPU. Our model features a very simple transformer-based architecture; we patchify input posed images, pass the concatenated multi-view image tokens through a sequence of transformer blocks, and decode final per-pixel Gaussian parameters directly from these tokens for differentiable rendering. In contrast to previous LRMs that can only reconstruct objects, by predicting per-pixel Gaussians, GS-LRM naturally handles scenes with large variations in scale and complexity. We show that our model can work on both object and scene captures by training it on Objaverse and RealEstate10K respectively. In both scenarios, the models outperform state-of-the-art baselines by a wide margin. We also demonstrate applications of our model in downstream 3D generation tasks. Our project webpage is available at: https://sai-bi.github.io/project/gs-lrm/ .
Key facts. Cited by 344 papers in the map (data through 7 Oct 2026). Builds on 58 of its 74 references that are in the map. First posted on arXiv 30 Apr 2024.
Builds on
58 of 74 references.
References · 58
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38 more
- 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
- 2023DUSt3R: Geometric 3D Vision Made Easycited by 1,526
- 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
- 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
- 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
- 2017Mixed Precision Trainingcited by 1,135
- 2021Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstructioncited by 961
- 2020Neural Sparse Voxel Fieldscited by 959
- 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
- 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
- 2016Training Deep Nets with Sublinear Memory Costcited by 825
- 2018MVSNet: Depth Inference for Unstructured Multi-view Stereocited by 780
- 2020Convolutional Occupancy Networkscited by 760
- 2021MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereocited by 735
- 2024LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creationcited by 730
- 2021IBRNet: Learning Multi-View Image-Based Renderingcited by 698
- 2019Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelinescited by 672
- 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 668
- 2023Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fieldscited by 667
- 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 601
- 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
- 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
- 2019Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matchingcited by 414
- 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
- 2019SynSin: End-to-end View Synthesis from a Single Imagecited by 364
- 2021ABO: Dataset and Benchmarks for Real-World 3D Object Understandingcited by 360
- 2023Splatter Image: Ultra-Fast Single-View 3D Reconstructioncited by 359
- 2019Neural Point-Based Graphicscited by 326
- 2021Mixture of Volumetric Primitives for Efficient Neural Renderingcited by 277
- 2019Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inferencecited by 252
- 2019Differentiable Surface Splatting for Point-based Geometry Processingcited by 238
- 2017Photographic Image Synthesis with Cascaded Refinement Networkscited by 223
- 2023DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Modelcited by 213
- 2021GeoNeRF: Generalizing NeRF with Geometry Priorscited by 195
- 2022SparseNeuS: Fast Generalizable Neural Surface Reconstruction from Sparse Viewscited by 175
- 2023PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Predictioncited by 165
- 2021CFNet: Cascade and Fused Cost Volume for Robust Stereo Matchingcited by 153
- 2019Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awarenesscited by 151
50 most cited of 58 All 58 (JSON)
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Citing papers per year: 2024: 77; 2025: 143; 2026: 124.
344 papers.
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50 most cited of 344 All 344 (JSON)
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50 newest of 344 All 344 (JSON)
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- 2026Latent Riemannian Flow Matching for Geometry-Grounded 3D Foundation Models21 Jul 2026
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- 2025AnySplat: Feed-forward 3D Gaussian Splatting from Unconstrained Viewscited by 234
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- 2024Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Imagecited by 113
- 2024Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splatscited by 111
- 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Viewscited by 111
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12 most cited of 272 All 272 (JSON)
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- 2026M-plicits: Neural Implicit Surfaces via Nested Multiscale Residuals23 Sep 2026
- 2026PhGS: Post-Hoc Pruning and Refinement of Single-View Feed-Forward 3D Gaussian Reconstructions17 Sep 2026
- 2026ParticleSplat: Self-supervised Object-centric Latent Particle Splatting16 Sep 2026
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