mlsanityData to 14 Oct 2026

ViewCraft3D: High-Fidelity and View-Consistent 3D Vector Graphics Synthesis

arXiv 2505.19492 ↗First posted 26 May 2025cs.CVcited by 5

Not on the map. Why?

Abstract (arXiv)

3D vector graphics play a crucial role in various applications including 3D shape retrieval, conceptual design, and virtual reality interactions due to their ability to capture essential structural information with minimal representation. While recent approaches have shown promise in generating 3D vector graphics, they often suffer from lengthy processing times and struggle to maintain view consistency. To address these limitations, we propose ViewCraft3D (VC3D), an efficient method that leverages 3D priors to generate 3D vector graphics. Specifically, our approach begins with 3D object analysis, employs a geometric extraction algorithm to fit 3D vector graphics to the underlying structure, and applies view-consistent refinement process to enhance visual quality. Our comprehensive experiments demonstrate that VC3D outperforms previous methods in both qualitative and quantitative evaluations, while significantly reducing computational overhead. The resulting 3D sketches maintain view consistency and effectively capture the essential characteristics of the original objects.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 37 of its 57 references that are in the map. First posted on arXiv 26 May 2025.

Builds on

37 of 57 references.

References · 37

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
  4. 20233D Gaussian Splatting for Real-Time Radiance Field Renderingcited by 6,226
  5. 2022Scalable Diffusion Models with Transformerscited by 6,054
  6. 2017PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Spacecited by 4,401
  7. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
  8. 2022DreamFusion: Text-to-3D using 2D Diffusioncited by 3,025
  9. 2023Zero-1-to-3: Zero-shot One Image to 3D Objectcited by 1,489
  10. 2023MVDream: Multi-view Diffusion for 3D Generationcited by 938
  11. 2024Structured 3D Latents for Scalable and Versatile 3D Generationcited by 770
  12. 2023Wonder3D: Single Image to 3D using Cross-Domain Diffusioncited by 689
25 more
  1. 2023One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimizationcited by 560
  2. 2025Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generationcited by 356
  3. 2025TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Modelscited by 213
  4. 2021CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoderscited by 187
  5. 2024Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Imagecited by 135
  6. 2022VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Modelscited by 112
  7. 2025Hi3DGen: High-fidelity 3D Geometry Generation from Images via Normal Bridgingcited by 99
  8. 2024Dora: Sampling and Benchmarking for 3D Shape Variational Auto-Encoderscited by 98
  9. 2024Hunyuan3D 1.0: A Unified Framework for Text-to-3D and Image-to-3D Generationcited by 82
  10. 2023SVGDreamer: Text Guided SVG Generation with Diffusion Modelcited by 76
  11. 2023IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformerscited by 75
  12. 2025OmniSVG: A Unified Scalable Vector Graphics Generation Modelcited by 74
  13. 2024Empowering LLMs to Understand and Generate Complex Vector Graphicscited by 66
  14. 2022CLIPascene: Scene Sketching with Different Types and Levels of Abstractioncited by 64
  15. 2023Word-As-Image for Semantic Typographycited by 63
  16. 2023DiffSketcher: Text Guided Vector Sketch Synthesis through Latent Diffusion Modelscited by 54
  17. 2024Chat2SVG: Vector Graphics Generation with Large Language Models and Image Diffusion Modelscited by 38
  18. 20243Doodle: Compact Abstraction of Objects with 3D Strokescited by 21
  19. 2023Wired Perspectives: Multi-View Wire Art Embraces Generative AIcited by 17
  20. 20233D VR Sketch Guided 3D Shape Prototyping and Explorationcited by 12
  21. 2024EdgeGaussians -- 3D Edge Mapping via Gaussian Splattingcited by 10
  22. 2024Diff3DS: Generating View-Consistent 3D Sketch via Differentiable Curve Renderingcited by 9
  23. 2024VectorPainter: Advanced Stylized Vector Graphics Synthesis Using Stroke-Style Priorscited by 7
  24. 2022Towards 3D VR-Sketch to 3D Shape Retrievalcited by 4
  25. 2025Recovering Dynamic 3D Sketches from Videoscited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 3.

5 papers.

  1. 2026Render-in-the-Loop: Vector Graphics Generation via Visual Self-Feedbackcited by 12
  2. 2026VAnim: Rendering-Aware Sparse State Modeling for Structure-Preserving Vector Animationcited by 6
  3. 20263DrawAgent: Teaching LLM to Draw in 3D with Early Contrastive Experiencecited by 1
  4. 2025SVG360: Editable Multiview Vector Graphics from a Single SVGcited by 0
  5. 2025Order Matters: 3D Shape Generation from Sequential VR Sketchescited by 0