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Vector graphics are widely used in digital art and highly favored by designers due to their scalability and layer-wise properties.
Potrace: a polygon-based tracing algorithm
Peter Selinger. 2003 · 2003
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Depixelizing pixel art
Johannes Kopf and Dani Lischinski. 2011 · 2011
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Deep unsupervised learning using nonequilibrium thermodynamics. In International conference on machine learning . PMLR, 2256–2265
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015 · 2015
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Effective clipart image vectorization through direct optimization of bezigons
Ming Yang, Hongyang Chao, Chi Zhang, Jun Guo, Lu Yuan, and Jian Sun. 2015 · 2015
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Photo2clipart: Image abstraction and vectorization using layered linear gradients
Jean-Dominique Favreau, Florent Lafarge, and Adrien Bousseau. 2017 · 2017
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A neural representation of sketch drawings
David Ha and Douglas Eck. 2017 · 2017
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Attention is all you need
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Perception-driven semi-structured boundary vectorization
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Figr: Few-shot image generation with reptile
Louis Clouâtre and Marc Demers. 2019 · 2019
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A learned representation for scalable vector graphics. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 7930–7939
Raphael Gontijo Lopes, David Ha, Douglas Eck, and Jonathon Shlens. 2019 · 2019
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Deepsvg: A hierarchical generative network for vector graphics animation
Alexandre Carlier, Martin Danelljan, Alexandre Alahi, and Radu Timofte. 2020 · 2020
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Polyfit: Perception-aligned vectorization of raster clip-art via intermediate polygonal fitting
Edoardo Alberto Dominici, Nico Schertler, Jonathan Griffin, Shayan Hoshyari, Leonid Sigal, and Alla Sheffer. 2020 · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
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Differentiable vector graphics rasterization for editing and learning
Tzu-Mao Li, Michal Lukáč, Michaël Gharbi, and Jonathan Ragan-Kelley. 2020 · 2020
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Sketchformer: Transformer-based representation for sketched structure. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 14153–14162
Leo Sampaio Ferraz Ribeiro, Tu Bui, John Collomosse, and Moacir Ponti. 2020 · 2020
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A benchmark for rough sketch cleanup
Chuan Yan, David Vanderhaeghe, and Yotam Gingold. 2020 · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
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Sdedit: Guided image synthesis and editing with stochastic differential equations
Chenlin Meng, Yutong He, Yang Song, Jiaming Song, Jiajun Wu, Jun-Yan Zhu, and Stefano Ermon. 2021 · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. 2021 · 2021
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Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Im2vec: Synthesizing vector graphics without vector supervision. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 7342–7351
Pradyumna Reddy, Michael Gharbi, Michal Lukac, and Niloy J Mitra. 2021 · 2021
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DeepVecFont: Synthesizing high-quality vector fonts via dual-modality learning
Yizhi Wang and Zhouhui Lian. 2021 · 2021
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What is in a Text-to-Image Prompt: The Potential of Stable Diffusion in Visual Arts Education
Nassim Dehouche and Kullathida. 2023 · 2023
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Breathing Life Into Sketches Using Text-to-Video Priors
Rinon Gal, Yael Vinker, Yuval Alaluf, Amit H Bermano, Daniel Cohen-Or, Ariel Shamir, and Gal Chechik. 2023 · 2023
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Tokenflow: Consistent diffusion features for consistent video editing
Michal Geyer, Omer Bar-Tal, Shai Bagon, and Tali Dekel. 2023 · 2023
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Delta denoising score. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 2328–2337
Amir Hertz, Kfir Aberman, and Daniel Cohen-Or. 2023 · 2023
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Turn ideas into illustrations with Text to Vector Graphic
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Kevin Frans, Lisa Soros, and Olaf Witkowski. 2022 · 2022
Cited alongside, same era.
VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
Ajay Jain, Amber Xie, and Pieter Abbeel. 2022 · 2022
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Multi-Concept Customization of Text-to-Image Diffusion
Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, and Jun-Yan Zhu. 2022 · 2022
Cited alongside, same era.
End-to-end line drawing vectorization. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 36. 4559–4566
Hanyuan Liu, Chengze Li, Xueting Liu, and Tien-Tsin Wong. 2022 · 2022
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Towards layer-wise image vectorization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 16314–16323
Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, and Humphrey Shi. 2022 · 2022
Cited alongside, same era.
Dreamfusion: Text-to-3d using 2d diffusion
Ben Poole, Ajay Jain, Jonathan T Barron, and Ben Mildenhall. 2022 · 2022
Cited alongside, same era.
High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Cited alongside, same era.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022 · 2022
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Adobe Illustrator. 2023 · 2023
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Word-as-image for semantic typography
Shir Iluz, Yael Vinker, Amir Hertz, Daniel Berio, Daniel Cohen-Or, and Ariel Shamir. 2023 · 2023
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DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 14193–14202
Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Matthew Fisher, Zhaowen Wang, and Song-Hai Zhang. 2023 · 2023
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StarVector: Generating Scalable Vector Graphics Code from Images
Juan A Rodriguez, Shubham Agarwal, Issam H Laradji, Pau Rodriguez, David Vazquez, Christopher Pal, and Marco Pedersoli. 2023 · 2023
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Sketch-guided text-to-image diffusion models. In ACM SIGGRAPH 2023 Conference Proceedings . 1–11
Andrey Voynov, Kfir Aberman, and Daniel Cohen-Or. 2023 · 2023
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Modelscope text-to-video technical report
Jiuniu Wang, Hangjie Yuan, Dayou Chen, Yingya Zhang, Xiang Wang, and Shiwei Zhang. 2023c · 2023
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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. 2023a · 2023
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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. 2023a · 2023
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SVGDreamer: Text Guided SVG Generation with Diffusion Model
Ximing Xing, Haitao Zhou, Chuang Wang, Jing Zhang, Dong Xu, and Qian Yu. 2023b · 2023
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Multimodal image synthesis and editing: A survey and taxonomy
Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Lingjie Liu, Adam Kortylewski, Christian Theobalt, and Eric Xing. 2023 · 2023
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Text-Guided Vector Graphics Customization. In SIGGRAPH Asia 2023 Conference Papers . 1–11
Peiying Zhang, Nanxuan Zhao, and Jing Liao. 2023c · 2023
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Stunning vector illustrations from text prompts
Illustroke. 2024 · 2024
Closest in time.
AI Vector Generator
Kittl. 2024 · 2024
Closest in time.