mlsanityData to 7 Oct 2026

TEXTure: Text-Guided Texturing of 3D Shapes

arXiv 2302.01721 ↗First posted 3 Feb 2023cs.CV cs.GRcited by 303

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

In this paper, we present TEXTure, a novel method for text-guided generation, editing, and transfer of textures for 3D shapes. Leveraging a pretrained depth-to-image diffusion model, TEXTure applies an iterative scheme that paints a 3D model from different viewpoints. Yet, while depth-to-image models can create plausible textures from a single viewpoint, the stochastic nature of the generation process can cause many inconsistencies when texturing an entire 3D object. To tackle these problems, we dynamically define a trimap partitioning of the rendered image into three progression states, and present a novel elaborated diffusion sampling process that uses this trimap representation to generate seamless textures from different views. We then show that one can transfer the generated texture maps to new 3D geometries without requiring explicit surface-to-surface mapping, as well as extract semantic textures from a set of images without requiring any explicit reconstruction. Finally, we show that TEXTure can be used to not only generate new textures but also edit and refine existing textures using either a text prompt or user-provided scribbles. We demonstrate that our TEXTuring method excels at generating, transferring, and editing textures through extensive evaluation, and further close the gap between 2D image generation and 3D texturing.

Key facts. Cited by 303 papers in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 29 of its 55 references that are in the map. First posted on arXiv 3 Feb 2023.

Builds on

29 of 55 references.

Closest ancestors · 3

Same direction, newest first

  1. 2022Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models28 Dec
  2. 2022Magic3D: High-Resolution Text-to-3D Content Creation18 Nov
  3. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 26

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  3. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  4. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  5. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,131
  6. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  7. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  8. 2022Prompt-to-Prompt Image Editing with Cross Attention Controlcited by 2,409
  9. 2022An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversioncited by 2,231
  10. 2021Vision Transformers for Dense Predictioncited by 1,789
  11. 2022Imagic: Text-Based Real Image Editing with Diffusion Modelscited by 1,172
  12. 2022Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translationcited by 897
14 more
  1. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  2. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 459
  3. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  4. 2022Blended Latent Diffusioncited by 430
  5. 2020U2-Net: Going Deeper with Nested U-Structure for Salient Object Detectioncited by 410
  6. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 332
  7. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  8. 2019Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Researchcited by 98
  9. 2022TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decompositioncited by 83
  10. 2018Non-Stationary Texture Synthesis by Adversarial Expansioncited by 66
  11. 2020Deep Geometric Texture Synthesiscited by 51
  12. 2017TextureGAN: Controlling Deep Image Synthesis with Texture Patchescited by 47
  13. 2022Shape-Guided Diffusion with Inside-Outside Attentioncited by 45
  14. 2022ObjectStitch: Generative Object Compositingcited by 36

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 96; 2024: 104; 2025: 69; 2026: 34.

303 papers.

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By area:

  1. 2023DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creationcited by 837
  2. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 555
  3. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assetscited by 444
  4. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 395
  5. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  6. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusioncited by 283
  7. 2023Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Modelscited by 245
  8. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
  9. 2023Break-A-Scene: Extracting Multiple Concepts from a Single Imagecited by 230
  10. 2023MeshDiffusion: Score-based Generative 3D Mesh Modelingcited by 198
  11. 2025Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Controlcited by 184
  12. 2023XCube: Large-Scale 3D Generative Modeling using Sparse Voxel Hierarchiescited by 183
38 more
  1. 2023RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3Dcited by 168
  2. 2023DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Modelscited by 154
  3. 2023DreamEditor: Text-Driven 3D Scene Editing with Neural Fieldscited by 154
  4. 2023Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyondcited by 139
  5. 2023SweetDreamer: Aligning Geometric Priors in 2D Diffusion for Consistent Text-to-3Dcited by 134
  6. 2023Text-to-3D with Classifier Score Distillationcited by 127
  7. 2023A Neural Space-Time Representation for Text-to-Image Personalizationcited by 123
  8. 2023Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Modelscited by 122
  9. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 120
  10. 2023Vox-E: Text-guided Voxel Editing of 3D Objectscited by 114
  11. 2024MV-Adapter: Multi-view Consistent Image Generation Made Easycited by 111
  12. 2023TADA! Text to Animatable Digital Avatarscited by 109
  13. 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusionscited by 108
  14. 2024URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Imagescited by 106
  15. 2023DreamHuman: Animatable 3D Avatars from Textcited by 102
  16. 2024GES: Generalized Exponential Splatting for Efficient Radiance Field Renderingcited by 92
  17. 2023Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Taskcited by 91
  18. 2023HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splattingcited by 89
  19. 2023HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generationcited by 88
  20. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  21. 2023Text-Guided Texturing by Synchronized Multi-View Diffusioncited by 86
  22. 2023Domain-Agnostic Tuning-Encoder for Fast Personalization of Text-To-Image Modelscited by 85
  23. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assetscited by 85
  24. 2023Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Renderingcited by 84
  25. 2023AnyHome: Open-Vocabulary Generation of Structured and Textured 3D Homescited by 81
  26. 2023SIFU: Side-view Conditioned Implicit Function for Real-world Usable Clothed Human Reconstructioncited by 77
  27. 2023Intelligent Grimm -- Open-ended Visual Storytelling via Latent Diffusion Modelscited by 76
  28. 2024TIP-Editor: An Accurate 3D Editor Following Both Text-Prompts And Image-Promptscited by 76
  29. 2024View-Consistent 3D Editing with Gaussian Splattingcited by 67
  30. 2023Consistent123: One Image to Highly Consistent 3D Asset Using Case-Aware Diffusion Priorscited by 64
  31. 2023GAvatar: Animatable 3D Gaussian Avatars with Implicit Mesh Learningcited by 63
  32. 2023Gen2Sim: Scaling up Robot Learning in Simulation with Generative Modelscited by 62
  33. 2023The Chosen One: Consistent Characters in Text-to-Image Diffusion Modelscited by 62
  34. 2023Generative AI meets 3D: A Survey on Text-to-3D in AIGC Eracited by 61
  35. 2023AvatarVerse: High-quality & Stable 3D Avatar Creation from Text and Posecited by 60
  36. 2024FlashTex: Fast Relightable Mesh Texturing with LightControlNetcited by 56
  37. 2023Diffusion 3D Features (Diff3F): Decorating Untextured Shapes with Distilled Semantic Featurescited by 55
  38. 2024Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objectscited by 52

50 most cited of 303 All 303 (JSON)

Similar, not cited

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  1. 2024Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
  2. 2023Text-Guided 3D Face Synthesis -- From Generation to Editing
  3. 2024EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusion
  4. 2024On Synthetic Texture Datasets: Challenges, Creation, and Curation
  5. 2025TriTex: Learning Texture from a Single Mesh via Triplane Semantic Features
  6. 2025Textured 3D Regenerative Morphing with 3D Diffusion Prior
  7. 2024ViewDiff: 3D-Consistent Image Generation with Text-to-Image Models
  8. 2025Shape from Semantics: 3D Shape Generation from Multi-View Semantics