Consistent Mesh Diffusion
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Abstract (arXiv)
Given a 3D mesh with a UV parameterization, we introduce a novel approach to generating textures from text prompts. While prior work uses optimization from Text-to-Image Diffusion models to generate textures and geometry, this is slow and requires significant compute resources. Alternatively, there are projection based approaches that use the same Text-to-Image models that paint images onto a mesh, but lack consistency at different viewing angles, we propose a method that uses a single Depth-to-Image diffusion network, and generates a single consistent texture when rendered on the 3D surface by first unifying multiple 2D image's diffusion paths, and hoisting that to 3D with MultiDiffusion~citemultidiffusion. We demonstrate our approach on a dataset containing 30 meshes, taking approximately 5 minutes per mesh. To evaluate the quality of our approach, we use CLIP-score~citeclipscore and Frechet Inception Distance (FID)~citefrechet to evaluate the quality of the rendering, and show our improvement over prior work.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 34 of its 56 references that are in the map. First posted on arXiv 1 Dec 2023.
Builds on
34 of 56 references.
References · 34
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
- 2020Denoising Diffusion Implicit Modelscited by 9,655
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
- 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,006
- 2021CLIPScore: A Reference-free Evaluation Metric for Image Captioningcited by 2,388
- 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,483
- 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,285
- 2022TensoRF: Tensorial Radiance Fieldscited by 1,275
- 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,207
- 2021Cascaded Diffusion Models for High Fidelity Image Generationcited by 1,155
- 2020GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fieldscited by 784
22 more
- 2020pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesiscited by 708
- 2020GRAF: Generative Radiance Fields for 3D-Aware Image Synthesiscited by 688
- 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 684
- 2023MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generationcited by 529
- 2023Scaling up GANs for Text-to-Image Synthesiscited by 492
- 2020Modular Primitives for High-Performance Differentiable Renderingcited by 439
- 2022Blended Latent Diffusioncited by 430
- 2023TEXTure: Text-Guided Texturing of 3D Shapescited by 303
- 2023Text2Tex: Text-driven Texture Synthesis via Diffusion Modelscited by 234
- 2019Texture Fields: Learning Texture Representations in Function Spacecited by 210
- 20233DGen: Triplane Latent Diffusion for Textured Mesh Generationcited by 181
- 2022GAUDI: A Neural Architect for Immersive 3D Scene Generationcited by 136
- 2023TextMesh: Generation of Realistic 3D Meshes From Text Promptscited by 135
- 2023Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generationcited by 133
- 20163D Shape Induction from 2D Views of Multiple Objectscited by 121
- 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Modelscited by 86
- 2023Texture Generation on 3D Meshes with Point-UV Diffusioncited by 63
- 2023On the Design Fundamentals of Diffusion Models: A Surveycited by 59
- 2021Learning Generative Models of Textured 3D Meshes from Real-World Imagescited by 44
- 2021Appearance-Driven Automatic 3D Model Simplificationcited by 24
- 2022Fine Detailed Texture Learning for 3D Meshes with Generative Modelscited by 15
- 2023Text-guided High-definition Consistency Texture Modelcited by 7
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Citing papers per year: 2024: 3.
3 papers.
Similar, not cited
Close in wording, no citation either way
- 2024Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
- 2024An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes
- 2023EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth
- 2024RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Models
- 2025Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
- 2023Text-Guided Texturing by Synchronized Multi-View Diffusion
- 2024TexPainter: Generative Mesh Texturing with Multi-view Consistency
- 2024CT4D: Consistent Text-to-4D Generation with Animatable Meshes