mlsanityData to 7 Oct 2026

FlexiTex: Enhancing Texture Generation via Visual Guidance

arXiv 2409.12431 ↗First posted 19 Sep 2024cs.CV cs.AIcited by 8

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

Abstract (arXiv)

Recent texture generation methods achieve impressive results due to the powerful generative prior they leverage from large-scale text-to-image diffusion models. However, abstract textual prompts are limited in providing global textural or shape information, which results in the texture generation methods producing blurry or inconsistent patterns. To tackle this, we present FlexiTex, embedding rich information via visual guidance to generate a high-quality texture. The core of FlexiTex is the Visual Guidance Enhancement module, which incorporates more specific information from visual guidance to reduce ambiguity in the text prompt and preserve high-frequency details. To further enhance the visual guidance, we introduce a Direction-Aware Adaptation module that automatically designs direction prompts based on different camera poses, avoiding the Janus problem and maintaining semantically global consistency. Benefiting from the visual guidance, FlexiTex produces quantitatively and qualitatively sound results, demonstrating its potential to advance texture generation for real-world applications.

Key facts. Cited by 8 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 37 of its 41 references that are in the map. First posted on arXiv 19 Sep 2024.

Builds on

37 of 41 references.

Closest ancestors · 12

Same direction, newest first

  1. 2024VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing5 Jul
  2. 2024CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets30 May
  3. 2024TexPainter: Generative Mesh Texturing with Multi-view Consistency17 May
  4. 2024GenesisTex: Adapting Image Denoising Diffusion to Texture Space26 Mar
  5. 2024Generic 3D Diffusion Adapter Using Controlled Multi-View Editing18 Mar
  6. 2023Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models21 Dec
  7. 2023Single Mesh Diffusion Models with Field Latents for Texture Generation14 Dec
  8. 2023Texture Generation on 3D Meshes with Point-UV Diffusion21 Aug
  9. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation24 Mar
  10. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Models20 Mar
  11. 2023TEXTure: Text-Guided Texturing of 3D Shapes3 Feb
  12. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 25

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2020Denoising Diffusion Implicit Modelscited by 9,655
  5. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  6. 2015Rethinking the Inception Architecture for Computer Visioncited by 5,451
  7. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,286
  8. 2015ShapeNet: An Information-Rich 3D Model Repositorycited by 2,880
  9. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,522
  10. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  11. 2023LRM: Large Reconstruction Model for Single Image to 3Dcited by 834
  12. 2023Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inferencecited by 826
13 more
  1. 2020Accelerating 3D Deep Learning with PyTorch3Dcited by 781
  2. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 767
  3. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  4. 2022GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Imagescited by 446
  5. 2023Text-Guided Texturing by Synchronized Multi-View Diffusioncited by 86
  6. 2023Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Renderingcited by 84
  7. 2022Texturify: Generating Textures on 3D Shape Surfacescited by 65
  8. 2024Meta 3D TextureGen: Fast and Consistent Texture Generation for 3D Objectscited by 52
  9. 2024TextureDreamer: Image-guided Texture Synthesis through Geometry-aware Diffusioncited by 51
  10. 2022AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesiscited by 39
  11. 2023Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repaintingcited by 25
  12. 2024InTeX: Interactive Text-to-texture Synthesis via Unified Depth-aware Inpaintingcited by 22
  13. 2023Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clippingcited by 17

Built on by

Cited by year

Citing papers per year: 2024: 1; 2025: 7.

8 papers.

  1. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 342
  2. 2025Hunyuan3D 2.1: From Images to High-Fidelity 3D Assets with Production-Ready PBR Materialcited by 157
  3. 2024MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3Dcited by 34
  4. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  5. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  6. 2025FlexPainter: Flexible and Multi-View Consistent Texture Generationcited by 7
  7. 2025MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Modelscited by 2
  8. 2025Consistent Zero-shot 3D Texture Synthesis Using Geometry-aware Diffusion and Temporal Video Modelscited by 1

Similar, not cited

Close in wording, no citation either way

  1. 2024GenesisTex2: Stable, Consistent and High-Quality Text-to-Texture Generation
  2. 2024RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Models
  3. 2025TexTailor: Customized Text-aligned Texturing via Effective Resampling
  4. 2024Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
  5. 2025MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection
  6. 2025CaliTex: Geometry-Calibrated Attention for View-Coherent 3D Texture Generation
  7. 2024Make-A-Texture: Fast Shape-Aware Texture Generation in 3 Seconds
  8. 2025Step1X-3D: Towards High-Fidelity and Controllable Generation of Textured 3D Assets