mlsanityData to 7 Oct 2026

TexRO: Generating Delicate Textures of 3D Models by Recursive Optimization

arXiv 2403.15009 ↗First posted 22 Mar 2024cs.CVcited by 9

Not on the map. Why?

Abstract (arXiv)

This paper presents TexRO, a novel method for generating delicate textures of a known 3D mesh by optimizing its UV texture. The key contributions are two-fold. We propose an optimal viewpoint selection strategy, that finds the most miniature set of viewpoints covering all the faces of a mesh. Our viewpoint selection strategy guarantees the completeness of a generated result. We propose a recursive optimization pipeline that optimizes a UV texture at increasing resolutions, with an adaptive denoising method that re-uses existing textures for new texture generation. Through extensive experimentation, we demonstrate the superior performance of TexRO in terms of texture quality, detail preservation, visual consistency, and, notably runtime speed, outperforming other current methods. The broad applicability of TexRO is further confirmed through its successful use on diverse 3D models.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 45 of its 56 references that are in the map. First posted on arXiv 22 Mar 2024.

Builds on

45 of 56 references.

References · 45

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2019PyTorch: An Imperative Style, High-Performance Deep Learning Librarycited by 20,160
  3. 2020Denoising Diffusion Implicit Modelscited by 9,655
  4. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  5. 2019Generative Modeling by Estimating Gradients of the Data Distributioncited by 4,067
  6. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
  7. 2018Demystifying MMD GANscited by 1,268
  8. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
  9. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  10. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
  11. 2023Zero123++: a Single Image to Consistent Multi-view Diffusion Base Modelcited by 516
  12. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
33 more
  1. 2023Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Modelcited by 376
  2. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 332
  3. 2022Rodin: A Generative Model for Sculpting 3D Digital Avatars Using Diffusioncited by 309
  4. 2023TEXTure: Text-Guided Texturing of 3D Shapescited by 303
  5. 2022SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generationcited by 287
  6. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  7. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
  8. 2019Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderercited by 221
  9. 2023BakedSDF: Meshing Neural SDFs for Real-Time View Synthesiscited by 220
  10. 2019Texture Fields: Learning Texture Representations in Function Spacecited by 210
  11. 2023Scalable 3D Captioning with Pretrained Modelscited by 201
  12. 20233DGen: Triplane Latent Diffusion for Textured Mesh Generationcited by 181
  13. 2019Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wildcited by 180
  14. 2023Locally Attentional SDF Diffusion for Controllable 3D Shape Generationcited by 129
  15. 2023Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Modelscited by 122
  16. 2023Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinementcited by 106
  17. 2019Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Researchcited by 98
  18. 2021NeuTex: Neural Texture Mapping for Volumetric Neural Renderingcited by 98
  19. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
  20. 2020Leveraging 2D Data to Learn Textured 3D Mesh Generationcited by 69
  21. 2018Non-Stationary Texture Synthesis by Adversarial Expansioncited by 66
  22. 2022Texturify: Generating Textures on 3D Shape Surfacescited by 65
  23. 2020Do 2D GANs Know 3D Shape? Unsupervised 3D shape reconstruction from 2D Image GANscited by 63
  24. 2023Texture Generation on 3D Meshes with Point-UV Diffusioncited by 63
  25. 2020Convolutional Generation of Textured 3D Meshescited by 52
  26. 2020Online Adaptation for Consistent Mesh Reconstruction in the Wildcited by 51
  27. 2020Implicit Mesh Reconstruction from Unannotated Image Collectionscited by 49
  28. 2022AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesiscited by 39
  29. 2020Adversarial Texture Optimization from RGB-D Scanscited by 30
  30. 2023Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shapecited by 29
  31. 2021View Generalization for Single Image Textured 3D Modelscited by 19
  32. 2020GramGAN: Deep 3D Texture Synthesis From 2D Exemplarscited by 18
  33. 2022Fine Detailed Texture Learning for 3D Meshes with Generative Modelscited by 15

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 3; 2025: 4; 2026: 2.

9 papers.

  1. 2025Hunyuan3D 2.5: Towards High-Fidelity 3D Assets Generation with Ultimate Detailscited by 120
  2. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  3. 2024StyleTex: Style Image-Guided Texture Generation for 3D Modelscited by 14
  4. 2025FlexPainter: Flexible and Multi-View Consistent Texture Generationcited by 7
  5. 2024RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Modelscited by 2
  6. 2025Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Modelscited by 1
  7. 2024ConTEXTure: Consistent Multiview Images to Texturecited by 0
  8. 2026GarmentPainter: Efficient 3D Garment Texture Synthesis with Character-Guided Diffusion Modelcited by 0
  9. 2026MV2UV: Generating High-quality UV Texture Maps with Multiview Promptscited by 0