InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
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Cited by 83 in Diffusion models, but placed by its own abstract, which didn’t fit.
Abstract (arXiv)
We present InstantMesh, a feed-forward framework for instant 3D mesh generation from a single image, featuring state-of-the-art generation quality and significant training scalability. By synergizing the strengths of an off-the-shelf multiview diffusion model and a sparse-view reconstruction model based on the LRM architecture, InstantMesh is able to create diverse 3D assets within 10 seconds. To enhance the training efficiency and exploit more geometric supervisions, e.g, depths and normals, we integrate a differentiable iso-surface extraction module into our framework and directly optimize on the mesh representation. Experimental results on public datasets demonstrate that InstantMesh significantly outperforms other latest image-to-3D baselines, both qualitatively and quantitatively. We release all the code, weights, and demo of InstantMesh, with the intention that it can make substantial contributions to the community of 3D generative AI and empower both researchers and content creators.
Key facts. Cited by 421 papers in the map (data through 7 Oct 2026). Builds on 64 of its 67 references that are in the map. First posted on arXiv 10 Apr 2024.
Builds on
64 of 67 references.
References · 64
- 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
- 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,141
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
- 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,526
- 2018Occupancy Networks: Learning 3D Reconstruction in Function Spacecited by 2,037
- 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
- 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
- 2023MVDream: Multi-view Diffusion for 3D Generationcited by 928
38 more
- 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
- 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
- 2024LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creationcited by 730
- 2019Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervisioncited by 699
- 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 694
- 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 684
- 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 682
- 2018Pixel2Mesh: Generating 3D Mesh Models from Single RGB Imagescited by 649
- 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Imagecited by 638
- 2022Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Itemscited by 601
- 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generationcited by 597
- 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 555
- 20213D Shape Generation and Completion through Point-Voxel Diffusioncited by 516
- 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
- 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
- 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 459
- 20233DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Modelscited by 449
- 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 395
- 2023Shap-E: Generating Conditional 3D Implicit Functionscited by 379
- 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
- 2024SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusioncited by 364
- 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 324
- 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusioncited by 309
- 2024GRM: Large Gaussian Reconstruction Model for Efficient 3D Reconstruction and Generationcited by 298
- 2022SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generationcited by 287
- 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
- 2023Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformerscited by 257
- 2023ImageDream: Image-Prompt Multi-view Diffusion for 3D Generationcited by 256
- 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 227
- 2024CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Modelcited by 214
- 2023DMV3D: Denoising Multi-View Diffusion using 3D Large Reconstruction Modelcited by 213
- 2019BSP-Net: Generating Compact Meshes via Binary Space Partitioningcited by 205
- 2022DiffRF: Rendering-Guided 3D Radiance Field Diffusioncited by 204
- 2023MeshDiffusion: Score-based Generative 3D Mesh Modelingcited by 198
- 20233DGen: Triplane Latent Diffusion for Textured Mesh Generationcited by 181
- 2023PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Predictioncited by 165
- 2022Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Modelscited by 151
- 2022NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360deg Viewscited by 148
50 most cited of 64 All 64 (JSON)
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Citing papers per year: 2024: 107; 2025: 174; 2026: 140.
421 papers.
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- 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 204
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38 more
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- 2024SAR3D: Autoregressive 3D Object Generation and Understanding via Multi-scale 3D VQVAEcited by 38
- 2025TreeMeshGPT: Artistic Mesh Generation with Autoregressive Tree Sequencingcited by 38
50 most cited of 421 All 421 (JSON)
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50 newest of 421 All 421 (JSON)
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12 most cited of 311 All 311 (JSON)
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- 2026OptimusMesh: Compact Autoregressive Mesh Generation from Point Clouds via Sparse Latent Pivots1 Oct 2026
- 2026ZeroBot: Learning from Scratch in Minutes with Generative Real2Sim27 Sep 2026
- 2026Fysiverse-3D-SimReady Technical Report: Agentic Physical Simulation for Pragmatic 3D World Reconstruction21 Sep 2026
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