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Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content.
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Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
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Differentiable drawing and sketching
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Clipgen: A deep generative model for clipart vectorization and synthesis
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Cogview2: Faster and better text-to-image generation via hierarchical transformers
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State of the Art on Diffusion Models for Visual Computing
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Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022 · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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High-resolution image synthesis with latent diffusion models
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Photorealistic text-to-image diffusion models with deep language understanding
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Kandinsky 2
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Modern evolution strategies for creativity: Fitting concrete images and abstract concepts. In International conference on computational intelligence in music, sound, art and design (part of evostar) . Springer, 275–291
Yingtao Tian and David Ha. 2022 · 2022
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Clipasso: Semantically-aware object sketching
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Clipvg: Text-guided image manipulation using differentiable vector graphics. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 37. 2312–2320
Yiren Song, Xuning Shao, Kang Chen, Weidong Zhang, Zhongliang Jing, and Minzhe Li. 2023 · 2023
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Clipascene: Scene sketching with different types and levels of abstraction. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 4146–4156
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IconShop: Text-Guided Vector Icon Synthesis with Autoregressive Transformers
Ronghuan Wu, Wanchao Su, Kede Ma, and Jing Liao. 2023 · 2023
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Diffsketcher: Text guided vector sketch synthesis through latent diffusion models
Ximing Xing, Chuang Wang, Haitao Zhou, Jing Zhang, Qian Yu, and Dong Xu. 2023 · 2023
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Breathing Life Into Sketches Using Text-to-Video Priors. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 4325–4336
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit Bermano, Daniel Cohen-Or, Ariel Shamir, and Gal Chechik. 2024 · 2024
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Optimize & Reduce: A Top-Down Approach for Image Vectorization. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 38. 2148–2156
Or Hirschorn, Amir Jevnisek, and Shai Avidan. 2024 · 2024
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Posterior distillation sampling. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 13352–13361
Juil Koo, Chanho Park, and Minhyuk Sung. 2024 · 2024
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Text-based Vector Sketch Editing with Image Editing Diffusion Prior. In 2024 IEEE International Conference on Multimedia and Expo (ICME) . IEEE, 1–6
Haoran Mo, Xusheng Lin, Chengying Gao, and Ruomei Wang. 2024 · 2024
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NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4589–4597
Vikas Thamizharasan, Difan Liu, Matthew Fisher, Nanxuan Zhao, Evangelos Kalogerakis, and Michal Lukac. 2024 · 2024
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SketchAgent: Language-Driven Sequential Sketch Generation
Yael Vinker, Tamar Rott Shaham, Kristine Zheng, Alex Zhao, Judith E Fan, and Antonio Torralba. 2024 · 2024
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Layered Image Vectorization via Semantic Simplification
Zhenyu Wang, Jianxi Huang, Zhida Sun, Daniel Cohen-Or, and Min Lu. 2024a · 2024
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu. 2024b · 2024
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SVGDreamer: Text guided SVG generation with diffusion model. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 4546–4555
Ximing Xing, Haitao Zhou, Chuang Wang, Jing Zhang, Dong Xu, and Qian Yu. 2024 · 2024
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A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, and Enhong Chen. 2024 · 2024
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Text-to-Vector Generation with Neural Path Representation
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Dreamsampler: Unifying diffusion sampling and score distillation for image manipulation. In European Conference on Computer Vision . Springer, 398–414
Jeongsol Kim, Geon Yeong Park, and Jong Chul Ye. 2025 · 2025
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