mlsanityData to 13 Oct 2026

EucliDreamer: Fast and High-Quality Texturing for 3D Models with Stable Diffusion Depth

arXiv 2311.15573 ↗First posted 27 Nov 2023cs.CV cs.GRcited by 7

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

Abstract (arXiv)

This paper presents a novel method to generate textures for 3D models given text prompts and 3D meshes. Additional depth information is taken into account to perform the Score Distillation Sampling (SDS) process with depth conditional Stable Diffusion. We ran our model over the open-source dataset Objaverse and conducted a user study to compare the results with those of various 3D texturing methods. We have shown that our model can generate more satisfactory results and produce various art styles for the same object. In addition, we achieved faster time when generating textures of comparable quality. We also conduct thorough ablation studies of how different factors may affect generation quality, including sampling steps, guidance scale, negative prompts, data augmentation, elevation range, and alternatives to SDS.

Key facts. Cited by 7 papers in the map (data through 13 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 26 of its 35 references that are in the map. First posted on arXiv 27 Nov 2023.

Builds on

26 of 35 references.

Closest ancestors · 7

Same direction, newest first

  1. 2023SyncDreamer: Generating Multiview-consistent Images from a Single-view Image7 Sep
  2. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation25 May
  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. 2023Zero-1-to-3: Zero-shot One Image to 3D Object20 Mar
  6. 2023TEXTure: Text-Guided Texturing of 3D Shapes3 Feb
  7. 2022DreamFusion: Text-to-3D using 2D Diffusion29 Sep

Other references · 19

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,588
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,777
  3. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,000
  4. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,484
  5. 2022Instant Neural Graphics Primitives with a Multiresolution Hash Encodingcited by 3,712
  6. 2021StyleCLIP: Text-Driven Manipulation of StyleGAN Imagerycited by 991
  7. 2020Accelerating 3D Deep Learning with PyTorch3Dcited by 784
  8. 2021Vector-quantized Image Modeling with Improved VQGANcited by 657
  9. 2016Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modelingcited by 558
  10. 2022Latent-NeRF for Shape-Guided Generation of 3D Shapes and Texturescited by 506
  11. 2020Modular Primitives for High-Performance Differentiable Renderingcited by 440
  12. 2021Text2Mesh: Text-Driven Neural Stylization for Meshescited by 334
7 more
  1. 2023OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generationcited by 326
  2. 2022CLIP-Mesh: Generating textured meshes from text using pretrained image-text modelscited by 281
  3. 2023MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusioncited by 210
  4. 2018Text2Shape: Generating Shapes from Natural Language by Learning Joint Embeddingscited by 169
  5. 2023Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into 3D, alleviate Janus problem and Beyondcited by 139
  6. 2020Epipolar Transformerscited by 117
  7. 2019Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Researchcited by 98

Built on by

Cited by year

Citing papers per year: 2024: 5; 2025: 2.

7 papers.

  1. 2024DreamMat: High-quality PBR Material Generation with Geometry- and Light-aware Diffusion Modelscited by 50
  2. 2025MaterialMVP: Illumination-Invariant Material Generation via Multi-view PBR Diffusioncited by 28
  3. 2024Collaborative Control for Geometry-Conditioned PBR Image Generationcited by 22
  4. 2025Objaverse++: Curated 3D Object Dataset with Quality Annotationscited by 20
  5. 2024StyleTex: Style Image-Guided Texture Generation for 3D Modelscited by 14
  6. 2024Jointly Generating Multi-view Consistent PBR Textures using Collaborative Controlcited by 4
  7. 2024EucliDreamer: Fast and High-Quality Texturing for 3D Models with Depth-Conditioned Stable Diffusioncited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2023Consistent Mesh Diffusion
  2. 2024Tex4D: Zero-shot 4D Scene Texturing with Video Diffusion Models
  3. 2024TexPainter: Generative Mesh Texturing with Multi-view Consistency
  4. 2025Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D Data
  5. 2023TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models
  6. 2023Text-guided High-definition Consistency Texture Model
  7. 2023Texture Generation on 3D Meshes with Point-UV Diffusion
  8. 2024RoCoTex: A Robust Method for Consistent Texture Synthesis with Diffusion Models