mlsanityData to 14 Oct 2026

Empowering Vector Graphics with Consistently Arbitrary Viewing and View-dependent Visibility

arXiv 2505.21377 ↗First posted 27 May 2025cs.CVcited by 1

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Abstract (arXiv)

This work presents a novel text-to-vector graphics generation approach, Dream3DVG, allowing for arbitrary viewpoint viewing, progressive detail optimization, and view-dependent occlusion awareness. Our approach is a dual-branch optimization framework, consisting of an auxiliary 3D Gaussian Splatting optimization branch and a 3D vector graphics optimization branch. The introduced 3DGS branch can bridge the domain gaps between text prompts and vector graphics with more consistent guidance. Moreover, 3DGS allows for progressive detail control by scheduling classifier-free guidance, facilitating guiding vector graphics with coarse shapes at the initial stages and finer details at later stages. We also improve the view-dependent occlusions by devising a visibility-awareness rendering module. Extensive results on 3D sketches and 3D iconographies, demonstrate the superiority of the method on different abstraction levels of details, cross-view consistency, and occlusion-aware stroke culling.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 45 of its 57 references that are in the map. First posted on arXiv 27 May 2025.

Builds on

45 of 57 references.

References · 45

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  4. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  5. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
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  8. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 9,122
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  10. 2022Classifier-Free Diffusion Guidancecited by 5,847
  11. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  12. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
33 more
  1. 2022Magic3D: High-Resolution Text-to-3D Content Creationcited by 1,290
  2. 2023ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillationcited by 1,219
  3. 2022Null-text Inversion for Editing Real Images using Guided Diffusion Modelscited by 1,179
  4. 2022Point-E: A System for Generating 3D Point Clouds from Complex Promptscited by 699
  5. 2023Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creationcited by 687
  6. 2022Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generationcited by 597
  7. 2023Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priorscited by 397
  8. 2017A Neural Representation of Sketch Drawingscited by 313
  9. 2023LucidDreamer: Towards High-Fidelity Text-to-3D Generation via Interval Score Matchingcited by 290
  10. 2021CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoderscited by 187
  11. 2020DeepSVG: A Hierarchical Generative Network for Vector Graphics Animationcited by 159
  12. 2023Text-to-3D with Classifier Score Distillationcited by 128
  13. 2021Im2Vec: Synthesizing Vector Graphics without Vector Supervisioncited by 116
  14. 2022VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Modelscited by 112
  15. 2023HiFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidancecited by 110
  16. 2019A Learned Representation for Scalable Vector Graphicscited by 91
  17. 2023DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generationcited by 81
  18. 2023SVGDreamer: Text Guided SVG Generation with Diffusion Modelcited by 76
  19. 2023IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformerscited by 75
  20. 2022CLIPascene: Scene Sketching with Different Types and Levels of Abstractioncited by 64
  21. 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Modelscited by 54
  22. 2022Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylizationcited by 35
  23. 2024Text-to-Vector Generation with Neural Path Representationcited by 33
  24. 2023DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Qualitycited by 27
  25. 2023NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Imagescited by 22
  26. 20243Doodle: Compact Abstraction of Objects with 3D Strokescited by 21
  27. 2024Layered Image Vectorization via Semantic Simplificationcited by 18
  28. 2024NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generationcited by 17
  29. 2020Neural Contours: Learning to Draw Lines from 3D Shapescited by 15
  30. 2024SketchINR: A First Look into Sketches as Implicit Neural Representationscited by 13
  31. 2020Discovering Pattern Structure Using Differentiable Compositingcited by 11
  32. 2024Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Renderingcited by 9
  33. 2024TV-3DG: Mastering Text-to-3D Customized Generation with Visual Promptcited by 8

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 20263DrawAgent: Teaching LLM to Draw in 3D with Early Contrastive Experiencecited by 1