mlsanityData to 7 Oct 2026

Text2Mesh: Text-Driven Neural Stylization for Meshes

arXiv 2112.03221 ↗First posted 6 Dec 2021cs.CV cs.CL cs.GRcited by 332

Not on the map. Why?

Cited by 78 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

In this work, we develop intuitive controls for editing the style of 3D objects. Our framework, Text2Mesh, stylizes a 3D mesh by predicting color and local geometric details which conform to a target text prompt. We consider a disentangled representation of a 3D object using a fixed mesh input (content) coupled with a learned neural network, which we term neural style field network. In order to modify style, we obtain a similarity score between a text prompt (describing style) and a stylized mesh by harnessing the representational power of CLIP. Text2Mesh requires neither a pre-trained generative model nor a specialized 3D mesh dataset. It can handle low-quality meshes (non-manifold, boundaries, etc.) with arbitrary genus, and does not require UV parameterization. We demonstrate the ability of our technique to synthesize a myriad of styles over a wide variety of 3D meshes.

Key facts. Cited by 332 papers in the map (data through 7 Oct 2026). Builds on 37 of its 77 references that are in the map. First posted on arXiv 6 Dec 2021.

Builds on

37 of 77 references.

References · 37

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  3. 2016Image-to-Image Translation with Conditional Adversarial Networkscited by 4,510
  4. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
  5. 2020Taming Transformers for High-Resolution Image Synthesiscited by 3,229
  6. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  7. 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,170
  8. 2017Arbitrary Style Transfer in Real-time with Adaptive Instance Normalizationcited by 1,998
  9. 2020pixelNeRF: Neural Radiance Fields from One or Few Imagescited by 1,574
  10. 2018Datasheets for Datasetscited by 1,371
  11. 2018On the Spectral Bias of Neural Networkscited by 1,321
  12. 2017Deep Image Priorcited by 1,097
25 more
  1. 2021StyleCLIP: Text-Driven Manipulation of StyleGAN Imagerycited by 990
  2. 2020NeRF++: Analyzing and Improving Neural Radiance Fieldscited by 857
  3. 2021KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPscited by 672
  4. 2017Neural 3D Mesh Renderercited by 437
  5. 2019SinGAN: Learning a Generative Model from a Single Natural Imagecited by 348
  6. 2021CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationcited by 254
  7. 2019Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderercited by 221
  8. 2019Texture Fields: Learning Texture Representations in Function Spacecited by 210
  9. 2021CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoderscited by 186
  10. 2016Thingi10K: A Dataset of 10,000 3D-Printing Modelscited by 182
  11. 2019Style Transfer by Relaxed Optimal Transport and Self-Similaritycited by 167
  12. 2021Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implicationscited by 128
  13. 20213DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variationscited by 58
  14. 2020Deep Geometric Texture Synthesiscited by 51
  15. 2020Neural Subdivisioncited by 49
  16. 2020DECOR-GAN: 3D Shape Detailization by Conditional Refinementcited by 45
  17. 2020Point2Mesh: A Self-Prior for Deformable Meshescited by 41
  18. 2021ClipMatrix: Text-controlled Creation of 3D Textured Meshescited by 40
  19. 2021Image-Based CLIP-Guided Essence Transfercited by 39
  20. 2021Exemplar-Based 3D Portrait Stylizationcited by 21
  21. 2020Self-Sampling for Neural Point Cloud Consolidationcited by 15
  22. 2019Cubic Stylizationcited by 14
  23. 2021Image2Lego: Customized LEGO Set Generation from Imagescited by 14
  24. 20203DSNet: Unsupervised Shape-to-Shape 3D Style Transfercited by 9
  25. 2018Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Linescited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 51; 2023: 118; 2024: 93; 2025: 48; 2026: 21.

332 papers.

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  1. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  2. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  3. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
  4. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  5. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 684
  6. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generationcited by 597
  7. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 555
  8. 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 552
  9. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  10. 2023Instruct-NeRF2NeRF: Editing 3D Scenes with Instructionscited by 482
  11. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  12. 2022MotionCLIP: Exposing Human Motion Generation to CLIP Spacecited by 406
38 more
  1. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 395
  2. 2022Text2LIVE: Text-Driven Layered Image and Video Editingcited by 312
  3. 2023TEXTure: Text-Guided Texturing of 3D Shapescited by 303
  4. 2023Text-to-3D using Gaussian Splattingcited by 299
  5. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  6. 2022VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidancecited by 285
  7. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  8. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  9. 2023GaussianDreamer: Fast Generation from Text to 3D Gaussians by Bridging 2D and 3D Diffusion Modelscited by 255
  10. 2023Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Modelscited by 245
  11. 2022Language-Grounded Indoor 3D Semantic Segmentation in the Wildcited by 243
  12. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
  13. 2023Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Followingcited by 192
  14. 2023OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understandingcited by 183
  15. 2023GaussianEditor: Editing 3D Gaussians Delicately with Text Instructionscited by 166
  16. 2023SceneScape: Text-Driven Consistent Scene Generationcited by 160
  17. 2023DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Modelscited by 154
  18. 2023DreamEditor: Text-Driven 3D Scene Editing with Neural Fieldscited by 154
  19. 2022Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Modelscited by 151
  20. 2022ARF: Artistic Radiance Fieldscited by 147
  21. 2022GAUDI: A Neural Architect for Immersive 3D Scene Generationcited by 136
  22. 2023TextMesh: Generation of Realistic 3D Meshes From Text Promptscited by 135
  23. 2023Locally Attentional SDF Diffusion for Controllable 3D Shape Generationcited by 129
  24. 2022Diffusion-SDF: Text-to-Shape via Voxelized Diffusioncited by 128
  25. 2023Text-to-3D with Classifier Score Distillationcited by 127
  26. 2022NeRF-Art: Text-Driven Neural Radiance Fields Stylizationcited by 126
  27. 2023Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Modelscited by 122
  28. 2022PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Modelscited by 117
  29. 2023Vox-E: Text-guided Voxel Editing of 3D Objectscited by 114
  30. 2023TADA! Text to Animatable Digital Avatarscited by 109
  31. 2023GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphscited by 96
  32. 2023TextDeformer: Geometry Manipulation using Text Guidancecited by 94
  33. 2024DGE: Direct Gaussian 3D Editing by Consistent Multi-view Editingcited by 92
  34. 2023HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splattingcited by 89
  35. 2024V3D: Video Diffusion Models are Effective 3D Generatorscited by 88
  36. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  37. 2023Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Modelscited by 85
  38. 2023AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Controlcited by 84

50 most cited of 332 All 332 (JSON)