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Vector graphics are widely used in digital art and valued by designers for their scalability and layer-wise topological properties.
Scalable vector graphics
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Differentiable vector graphics rasterization for editing and learning
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U2-Net: Going deeper with nested U-structure for salient object detection
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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
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Deep vit features as dense visual descriptors
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VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
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Towards layer-wise image vectorization. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 16314–16323
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Emerging properties in self-supervised vision transformers. In Proceedings of the IEEE/CVF international conference on computer vision . 9650–9660
Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, and Armand Joulin. 2021 · 2021
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Glide: Towards photorealistic image generation and editing with text-guided diffusion models
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Clipdraw: Exploring text-to-drawing synthesis through language-image encoders
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Styleclipdraw: Coupling content and style in text-to-drawing translation
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CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
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Modern evolution strategies for creativity: Fitting concrete images and abstract concepts. In Artificial Intelligence in Music, Sound, Art and Design: 11th International Conference, EvoMUSART 2022, Held as Part of EvoStar 2022, Madrid, Spain, April 20–22, 2022, Proceedings . Springer, 275–291
Yingtao Tian and David Ha. 2022 · 2022
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Clipasso: Semantically-aware object sketching
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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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One-Shot Transfer of Affordance Regions? AffCorrs!. In Conference on Robot Learning . PMLR, 550–560
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Subpixel Deblurring of Anti-Aliased Raster Clip-Art. In Computer Graphics Forum , Vol. 42. Wiley Online Library, 61–76
Jinfan Yang, Nicholas Vining, Shakiba Kheradmand, Nathan Carr, Leonid Sigal, and Alla Sheffer. 2023 · 2023
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