mlsanityData to 14 Oct 2026

EASI-Tex: Edge-Aware Mesh Texturing from Single Image

arXiv 2405.17393 ↗First posted 27 May 2024cs.CVcited by 20

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

Abstract (arXiv)

We present a novel approach for single-image mesh texturing, which employs a diffusion model with judicious conditioning to seamlessly transfer an object's texture from a single RGB image to a given 3D mesh object. We do not assume that the two objects belong to the same category, and even if they do, there can be significant discrepancies in their geometry and part proportions. Our method aims to rectify the discrepancies by conditioning a pre-trained Stable Diffusion generator with edges describing the mesh through ControlNet, and features extracted from the input image using IP-Adapter to generate textures that respect the underlying geometry of the mesh and the input texture without any optimization or training. We also introduce Image Inversion, a novel technique to quickly personalize the diffusion model for a single concept using a single image, for cases where the pre-trained IP-Adapter falls short in capturing all the details from the input image faithfully. Experimental results demonstrate the efficiency and effectiveness of our edge-aware single-image mesh texturing approach, coined EASI-Tex, in preserving the details of the input texture on diverse 3D objects, while respecting their geometry.

Key facts. Cited by 20 papers in the map (data through 14 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 27 of its 63 references that are in the map. First posted on arXiv 27 May 2024.

Builds on

27 of 63 references.

Closest ancestors · 7

Same direction, newest first

  1. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
  2. 2023Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior24 Mar
  3. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation24 Mar
  4. 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Models20 Mar
  5. 2023TEXTure: Text-Guided Texturing of 3D Shapes3 Feb
  6. 2022Magic3D: High-Resolution Text-to-3D Content Creation18 Nov
  7. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 20

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  4. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,713
  5. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,255
  6. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  7. 2022Objaverse: A Universe of Annotated 3D Objectscited by 1,540
  8. 2022Diffusion Models: A Comprehensive Survey of Methods and Applicationscited by 1,114
  9. 2023Vision-Language Models for Vision Tasks: A Surveycited by 839
  10. 2023Objaverse-XL: A Universe of 10M+ 3D Objectscited by 774
  11. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  12. 2021Deep Marching Tetrahedra: a Hybrid Representation for High-Resolution 3D Shape Synthesiscited by 460
8 more
  1. 2022A Survey of Vision-Language Pre-Trained Modelscited by 177
  2. 2015A Large-Scale Car Dataset for Fine-Grained Categorization and Verificationcited by 130
  3. 2023A Neural Space-Time Representation for Text-to-Image Personalizationcited by 123
  4. 2020Deep Geometric Texture Synthesiscited by 51
  5. 2022AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesiscited by 39
  6. 2023Mesh2Tex: Generating Mesh Textures from Image Queriescited by 31
  7. 2018PhotoShape: Photorealistic Materials for Large-Scale Shape Collectionscited by 21
  8. 2018IEGAN: Multi-purpose Perceptual Quality Image Enhancement Using Generative Adversarial Networkcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 3; 2025: 13; 2026: 4.

20 papers.

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  1. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 356
  2. 2024MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3Dcited by 34
  3. 2025RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesiscited by 20
  4. 20253D Stylization via Large Reconstruction Modelcited by 8
  5. 2025ASIA: Adaptive 3D Segmentation using Few Image Annotationscited by 6
  6. 2025ImmerseGen: Agent-Guided Immersive World Generation with Alpha-Textured Proxiescited by 5
  7. 2025ZeroScene: A Zero-Shot Framework for 3D Scene Generation from a Single Image and Controllable Texture Editingcited by 5
  8. 2024PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point Cloudcited by 3
  9. 20253D PixBrush: Image-Guided Local Texture Synthesiscited by 3
  10. 2025TriTex: Learning Texture from a Single Mesh via Triplane Semantic Featurescited by 2
  11. 2025GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfercited by 2
  12. 2025NI-Tex: Non-isometric Image-based Garment Texture Generationcited by 2
8 more
  1. 2024GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generationcited by 1
  2. 2025A Scalable Attention-Based Approach for Image-to-3D Texture Mappingcited by 1
  3. 2025GOATex: Geometry & Occlusion-Aware Texturingcited by 1
  4. 2025An evaluation of SVBRDF Prediction from Generative Image Models for Appearance Modeling of 3D Scenescited by 0
  5. 2026DogWeave: High-Fidelity 3D Canine Reconstruction from a Single Image via Normal Fusion and Conditional Inpaintingcited by 0
  6. 2026Advances in Neural 3D Mesh Texturing: A Surveycited by 0
  7. 2026PHAF-Personalized Hand Avatars in a Flashcited by 0
  8. 2026TGRHuman: Text-Guided Realistic 3D Human Generation via Diffusion Renderercited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024TexPainter: Generative Mesh Texturing with Multi-view Consistency
  2. 2024Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
  3. 2023Single Mesh Diffusion Models with Field Latents for Texture Generation
  4. 2024TEXGen: a Generative Diffusion Model for Mesh Textures
  5. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
  6. 2023One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion
  7. 2023Consistent Mesh Diffusion
  8. 2024An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes