mlsanityData to 14 Oct 2026

Text-Guided Texturing by Synchronized Multi-View Diffusion

arXiv 2311.12891 ↗First posted 21 Nov 2023cs.CVcited by 86

Not on the map. Why?

Cited by 31 in Diffusion models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper introduces a novel approach to synthesize texture to dress up a given 3D object, given a text prompt. Based on the pretrained text-to-image (T2I) diffusion model, existing methods usually employ a project-and-inpaint approach, in which a view of the given object is first generated and warped to another view for inpainting. But it tends to generate inconsistent texture due to the asynchronous diffusion of multiple views. We believe such asynchronous diffusion and insufficient information sharing among views are the root causes of the inconsistent artifact. In this paper, we propose a synchronized multi-view diffusion approach that allows the diffusion processes from different views to reach a consensus of the generated content early in the process, and hence ensures the texture consistency. To synchronize the diffusion, we share the denoised content among different views in each denoising step, specifically blending the latent content in the texture domain from views with overlap. Our method demonstrates superior performance in generating consistent, seamless, highly detailed textures, comparing to state-of-the-art methods.

Key facts. Cited by 86 papers in the map (data through 14 Oct 2026). Builds on 31 of its 55 references that are in the map. First posted on arXiv 21 Nov 2023.

Builds on

31 of 55 references.

References · 31

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 2015Deep Unsupervised Learning using Nonequilibrium Thermodynamicscited by 7,058
  5. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  6. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
  7. 2017Neural Discrete Representation Learningcited by 4,712
  8. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  9. 2023T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Modelscited by 1,351
  10. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,290
  11. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,219
  12. 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 699
19 more
  1. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 687
  2. 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 590
  3. 2022LION: Latent Point Diffusion Models for 3D Shape Generationcited by 553
  4. 20213D Shape Generation and Completion through Point-Voxel Diffusioncited by 516
  5. 2021Zero-Shot Text-Guided Object Generation with Dream Fieldscited by 513
  6. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  7. 2023TEXTure: Text-Guided Texturing of 3D Shapescited by 304
  8. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  9. 2021CLIP-Forge: Towards Zero-Shot Text-to-Shape Generationcited by 254
  10. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 235
  11. 20233DGen: Triplane Latent Diffusion for Textured Mesh Generationcited by 183
  12. 2023TextMesh: Generation of Realistic 3D Meshes From Text Promptscited by 135
  13. 2022Diffusion-SDF: Text-to-Shape via Voxelized Diffusioncited by 128
  14. 2023ATT3D: Amortized Text-to-3D Object Synthesiscited by 87
  15. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 87
  16. 20223D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Modelscited by 67
  17. 2017Improved Adversarial Systems for 3D Object Generation and Reconstructioncited by 66
  18. 2017TextureGAN: Controlling Deep Image Synthesis with Texture Patchescited by 47
  19. 2023Points-to-3D: Bridging the Gap between Sparse Points and Shape-Controllable Text-to-3D Generationcited by 39

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 32; 2025: 34; 2026: 20.

86 papers.

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  1. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 356
  2. 2024Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformercited by 210
  3. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 165
  4. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 125
  5. 2024MV-Adapter: Multi-view Consistent Image Generation Made Easycited by 112
  6. 20243D Gaussian as a New Era: A Surveycited by 104
  7. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assetscited by 87
  8. 2024MeshFormer: High-Quality Mesh Generation with 3D-Guided Reconstruction Modelcited by 55
  9. 2024Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objectscited by 52
  10. 2024DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Modelscited by 50
  11. 2024TEXGen: a Generative Diffusion Model for Mesh Texturescited by 46
  12. 2025EmbodiedGen: Towards a Generative 3D World Engine for Embodied Intelligencecited by 36
38 more
  1. 2024MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3Dcited by 34
  2. 2024Material Anything: Generating Materials for Any 3D Object via Diffusioncited by 31
  3. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  4. 2024SyncTweedies: A General Generative Framework Based on Synchronized Diffusionscited by 26
  5. 2024Frankenstein: Generating Semantic-Compositional 3D Scenes in One Tri-Planecited by 26
  6. 2024GrounDiT: Grounding Diffusion Transformers via Noisy Patch Transplantationcited by 24
  7. 2025UniTEX: Universal High Fidelity Generative Texturing for 3D Shapescited by 23
  8. 2024MVD2: Efficient Multiview 3D Reconstruction for Multiview Diffusioncited by 22
  9. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  10. 2025Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assetscited by 20
  11. 20243D-Adapter: Geometry-Consistent Multi-View Diffusion for High-Quality 3D Generationcited by 19
  12. 2024G3PT: Unleash the power of Autoregressive Modeling in 3D Generation via Cross-scale Querying Transformercited by 16
  13. 2024TAR3D: Creating High-Quality 3D Assets via Next-Part Predictioncited by 16
  14. 2024StyleTex: Style Image-Guided Texture Generation for 3D Modelscited by 14
  15. 2024Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Secondscited by 12
  16. 20243DEnhancer: Consistent Multi-View Diffusion for 3D Enhancementcited by 12
  17. 2025Gen3DEval: Using vLLMs for Automatic Evaluation of Generated 3D Objectscited by 11
  18. 2024RoomPainter: View-Integrated Diffusion for Consistent Indoor Scene Texturingcited by 10
  19. 2024SuperMat: Physically Consistent PBR Material Estimation at Interactive Ratescited by 9
  20. 2024VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturingcited by 8
  21. 2024FlexiTex: Enhancing Texture Generation via Visual Guidancecited by 8
  22. 2024GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generationcited by 8
  23. 2025StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spacescited by 8
  24. 2025MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processingcited by 8
  25. 2025FlexPainter: Flexible and Multi-View Consistent Texture Generationcited by 8
  26. 2024ARM: Appearance Reconstruction Model for Relightable 3D Generationcited by 7
  27. 2025GAP: Gaussianize Any Point Clouds with Text Guidancecited by 7
  28. 2025MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environmentscited by 5
  29. 2025Advancing high-fidelity 3D and Texture Generation with 2.5D latentscited by 5
  30. 2025ZeroScene: A Zero-Shot Framework for 3D Scene Generation from a Single Image and Controllable Texture Editingcited by 5
  31. 2024Jointly Generating Multi-view Consistent PBR Textures using Collaborative Controlcited by 4
  32. 2024ArtNVG: Content-Style Separated Artistic Neighboring-View Gaussian Stylizationcited by 4
  33. 2025LaFiTe: A Generative Latent Field for 3D Native Texturingcited by 4
  34. 2024Meta 3D Gencited by 3
  35. 2024Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Modelscited by 3
  36. 2025Im2SurfTex: Surface Texture Generation via Neural Backprojection of Multi-View Imagescited by 3
  37. 2025SyncSDE: A Probabilistic Framework for Diffusion Synchronizationcited by 3
  38. 2026ROAR-3D: Routing Arbitrary Views for High-Fidelity 3D Generationcited by 3

50 most cited of 86 All 86 (JSON)

Similar, not cited

Close in wording, no citation either way

  1. 2024RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Models
  2. 2025MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
  3. 2024Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
  4. 2023Text-guided High-definition Consistency Texture Model
  5. 2024TexPainter: Generative Mesh Texturing with Multi-view Consistency
  6. 2023Consistent Mesh Diffusion
  7. 2025TexTailor: Customized Text-aligned Texturing via Effective Resampling
  8. 2024GenesisTex: Adapting Image Denoising Diffusion to Texture Space