mlsanityData to 14 Oct 2026

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

arXiv 1804.01654 ↗First posted 5 Apr 2018cs.CVcited by 651

Not on the map. Why?

Cited by 43 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

We propose an end-to-end deep learning architecture that produces a 3D shape in triangular mesh from a single color image. Limited by the nature of deep neural network, previous methods usually represent a 3D shape in volume or point cloud, and it is non-trivial to convert them to the more ready-to-use mesh model. Unlike the existing methods, our network represents 3D mesh in a graph-based convolutional neural network and produces correct geometry by progressively deforming an ellipsoid, leveraging perceptual features extracted from the input image. We adopt a coarse-to-fine strategy to make the whole deformation procedure stable, and define various of mesh related losses to capture properties of different levels to guarantee visually appealing and physically accurate 3D geometry. Extensive experiments show that our method not only qualitatively produces mesh model with better details, but also achieves higher 3D shape estimation accuracy compared to the state-of-the-art.

Key facts. Cited by 651 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Apr 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 150; 2022: 152; 2023: 141; 2024: 99; 2025: 65; 2026: 44.

651 papers.

Sort:

By area:

  1. 2021NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstructioncited by 1,712
  2. 2022TensoRF: Tensorial Radiance Fieldscited by 1,280
  3. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 849
  4. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  5. 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 699
  6. 2021Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstructioncited by 652
  7. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 560
  8. 2022Point-NeRF: Point-based Neural Radiance Fieldscited by 503
  9. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 460
  10. 2024MonST3R: A Simple Approach for Estimating Geometry in the Presence of Motioncited by 442
  11. 2024InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Modelscited by 433
  12. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 397
38 more
  1. 2024Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimationcited by 395
  2. 2023Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Imagecited by 365
  3. 2021MonoScene: Monocular 3D Semantic Scene Completioncited by 363
  4. 2021Neural RGB-D Surface Reconstructioncited by 313
  5. 2024PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstructioncited by 285
  6. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  7. 2021DeepCAD: A Deep Generative Network for Computer-Aided Design Modelscited by 271
  8. 2021Mesh Graphormercited by 265
  9. 2023Triplane Meets Gaussian Splatting: Fast and Generalizable Single-View 3D Reconstruction with Transformerscited by 258
  10. 2021CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationcited by 254
  11. 2021PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loopcited by 250
  12. 2025SAM 3D: 3Dfy Anything in Imagescited by 247
  13. 2024TripoSR: Fast 3D Object Reconstruction from a Single Imagecited by 232
  14. 2021Self-Supervised Pretraining of 3D Features on any Point-Cloudcited by 217
  15. 2022AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generationcited by 208
  16. 2023MeshDiffusion: Score-based Generative 3D Mesh Modelingcited by 199
  17. 2021Shape As Points: A Differentiable Poisson Solvercited by 187
  18. 2021CodeNeRF: Disentangled Neural Radiance Fields for Object Categoriescited by 183
  19. 2022SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Imagecited by 165
  20. 2022PyMAF-X: Towards Well-aligned Full-body Model Regression from Monocular Imagescited by 153
  21. 2022NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360deg Viewscited by 148
  22. 2023Flexible Isosurface Extraction for Gradient-Based Mesh Optimizationcited by 139
  23. 2022D2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Videocited by 137
  24. 2022Neural Wavelet-domain Diffusion for 3D Shape Generationcited by 132
  25. 2023Locally Attentional SDF Diffusion for Controllable 3D Shape Generationcited by 130
  26. 2023S-NeRF: Neural Radiance Fields for Street Viewscited by 116
  27. 2024MVSplat360: Feed-Forward 360 Scene Synthesis from Sparse Viewscited by 116
  28. 2021A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representationcited by 114
  29. 2024RadSplat: Radiance Field-Informed Gaussian Splatting for Robust Real-Time Rendering with 900+ FPScited by 113
  30. 2022MagicPony: Learning Articulated 3D Animals in the Wildcited by 112
  31. 2022ShapeFormer: Transformer-based Shape Completion via Sparse Representationcited by 106
  32. 2023HoloDiffusion: Training a 3D Diffusion Model using 2D Imagescited by 106
  33. 2021Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networkscited by 103
  34. 2021gradSim: Differentiable simulation for system identification and visuomotor controlcited by 100
  35. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
  36. 2022CHORE: Contact, Human and Object REconstruction from a single RGB imagecited by 95
  37. 2021Holistic 3D Scene Understanding from a Single Image with Implicit Representationcited by 94
  38. 2021ShaRF: Shape-conditioned Radiance Fields from a Single Viewcited by 92

50 most cited of 651 All 651 (JSON)