mlsanityData to 7 Oct 2026

LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation

arXiv 2402.05054 ↗First posted 7 Feb 2024cs.CVcited by 730

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Cited by 162 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

3D content creation has achieved significant progress in terms of both quality and speed. Although current feed-forward models can produce 3D objects in seconds, their resolution is constrained by the intensive computation required during training. In this paper, we introduce Large Multi-View Gaussian Model (LGM), a novel framework designed to generate high-resolution 3D models from text prompts or single-view images. Our key insights are two-fold: 1) 3D Representation: We propose multi-view Gaussian features as an efficient yet powerful representation, which can then be fused together for differentiable rendering. 2) 3D Backbone: We present an asymmetric U-Net as a high-throughput backbone operating on multi-view images, which can be produced from text or single-view image input by leveraging multi-view diffusion models. Extensive experiments demonstrate the high fidelity and efficiency of our approach. Notably, we maintain the fast speed to generate 3D objects within 5 seconds while boosting the training resolution to 512, thereby achieving high-resolution 3D content generation.

Key facts. Cited by 730 papers in the map (data through 7 Oct 2026). Builds on 58 of its 63 references that are in the map. First posted on arXiv 7 Feb 2024.

Builds on

58 of 63 references.

References · 58

  1. 2017Attention Is All You Needcited by 59,932
  2. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  3. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  4. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  5. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  6. 2018The Unreasonable Effectiveness of Deep Features as a Perceptual Metriccited by 11,029
  7. 2020Denoising Diffusion Implicit Modelscited by 9,655
  8. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  9. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
  10. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,698
  11. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  12. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
38 more
  1. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
  2. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
  3. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
  4. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  5. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 928
  6. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  7. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
  8. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
  9. 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 694
  10. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 684
  11. 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 682
  12. 2023pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstructioncited by 668
  13. 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 638
  14. 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
  15. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  16. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 459
  17. 2020Modular Primitives for High-Performance Differentiable Renderingcited by 439
  18. 2020U2-Net: Going Deeper with Nested U-Structure for Salient Object Detectioncited by 410
  19. 2023Shap-E: Generating Conditional 3D Implicit Functionscited by 379
  20. 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
  21. 2023Splatter Image: Ultra-Fast Single-View 3D Reconstructioncited by 359
  22. 2023GaussianEditor: Swift and Controllable 3D Editing with Gaussian Splattingcited by 331
  23. 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusioncited by 309
  24. 2023Text-to-3D using Gaussian Splattingcited by 299
  25. 2023Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformerscited by 257
  26. 2023ImageDream: Image-Prompt Multi-view Diffusion for 3D Generationcited by 256
  27. 2023Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representationcited by 225
  28. 2024A Survey on 3D Gaussian Splattingcited by 221
  29. 2023DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Modelcited by 213
  30. 2022DiffRF: Rendering-Guided 3D Radiance Field Diffusioncited by 204
  31. 2023Scalable 3D Captioning with Pretrained Modelscited by 201
  32. 2023MeshDiffusion: Score-based Generative 3D Mesh Modelingcited by 198
  33. 2023DreamGaussian4D: Generative 4D Gaussian Splattingcited by 191
  34. 2023Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstructioncited by 180
  35. 2023Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Modelscited by 169
  36. 2023PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Predictioncited by 165
  37. 2023TextMesh: Generation of Realistic 3D Meshes From Text Promptscited by 135
  38. 2023SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3Dcited by 134

50 most cited of 58 All 58 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 240; 2025: 291; 2026: 199.

730 papers.

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  1. 2025VGGT: Visual Geometry Grounded Transformercited by 1,475
  2. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 742
  3. 2024MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Imagescited by 553
  4. 2024InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Modelscited by 421
  5. 2024GS-LRM: Large Reconstruction Model for 3D Gaussian Splattingcited by 344
  6. 2025GEN3C: 3D-Informed World-Consistent Video Generation with Precise Camera Controlcited by 325
  7. 2024GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generationcited by 298
  8. 2024DepthSplat: Connecting Gaussian Splatting and Depthcited by 275
  9. 2024No Pose, No Problem: Surprisingly Simple 3D Gaussian Splats from Sparse Unposed Imagescited by 241
  10. 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 227
  11. 2024Octree-GS: Towards Consistent Real-time Rendering with LOD-Structured 3D Gaussianscited by 225
  12. 2024CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Modelcited by 214
38 more
  1. 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformercited by 210
  2. 2024LVSM: A Large View Synthesis Model with Minimal 3D Inductive Biascited by 178
  3. 2024VD3D: Taming Large Video Diffusion Transformers for 3D Camera Controlcited by 156
  4. 2024AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformerscited by 151
  5. 2024L4GM: Large 4D Gaussian Reconstruction Modelcited by 143
  6. 2024MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformerscited by 140
  7. 2024MV-DUSt3R+: Single-Stage Scene Reconstruction from Sparse Views In 2 Secondscited by 136
  8. 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Imagecited by 132
  9. 2024Recent Advances in 3D Gaussian Splattingcited by 130
  10. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 120
  11. 2024Flash3D: Feed-Forward Generalisable 3D Scene Reconstruction from a Single Imagecited by 113
  12. 2024MIDI: Multi-Instance Diffusion for Single Image to 3D Scene Generationcited by 113
  13. 2024Long-LRM: Long-sequence Large Reconstruction Model for Wide-coverage Gaussian Splatscited by 111
  14. 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Viewscited by 111
  15. 2024RealmDreamer: Text-Driven 3D Scene Generation with Inpainting and Depth Diffusioncited by 109
  16. 20244Diffusion: Multi-view Video Diffusion Model for 4D Generationcited by 104
  17. 2025Direct3D-S2: Gigascale 3D Generation Made Easy with Spatial Sparse Attentioncited by 103
  18. 2024MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenizationcited by 102
  19. 2025CAST: Component-Aligned 3D Scene Reconstruction from an RGB Imagecited by 101
  20. 2024MeshXL: Neural Coordinate Field for Generative 3D Foundation Modelscited by 100
  21. 20243DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusioncited by 100
  22. 2024Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attentioncited by 99
  23. 2024Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Modelscited by 99
  24. 2024Wonderland: Navigating 3D Scenes from a Single Imagecited by 98
  25. 2024Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoderscited by 93
  26. 2024LN3DIFF++: Scalable Latent Neural Fields Diffusion for Speedy 3D Generationcited by 91
  27. 2025HunyuanWorld 1.0: Generating Immersive, Explorable, and Interactive 3D Worlds from Words or Pixelscited by 91
  28. 2024V3D: Video Diffusion Models are Effective 3D Generatorscited by 88
  29. 2024Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scalecited by 87
  30. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assetscited by 85
  31. 2024EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generationcited by 84
  32. 2024AbsGS: Recovering Fine Details for 3D Gaussian Splattingcited by 80
  33. 2025PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformerscited by 78
  34. 20243D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunitiescited by 77
  35. 2024TC4D: Trajectory-Conditioned Text-to-4D Generationcited by 76
  36. 2025SparseFlex: High-Resolution and Arbitrary-Topology 3D Shape Modelingcited by 76
  37. 2025SpatialVID: A Large-Scale Video Dataset with Spatial Annotationscited by 72
  38. 2024Scaling Mesh Generation via Compressive Tokenizationcited by 71

50 most cited of 730 All 730 (JSON)

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  1. 2025Geometry and Perception Guided Gaussians for Multiview-consistent 3D Generation from a Single Image
  2. 2024L3DG: Latent 3D Gaussian Diffusion
  3. 2023GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Models
  4. 2024Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generation
  5. 2024ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
  6. 2025FlashWorld: High-quality 3D Scene Generation within Seconds
  7. 2024GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing
  8. 2025GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting