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Related papers: VecGlypher: Unified Vector Glyph Generation with L…

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Code has emerged as a precise and executable medium for reasoning and action in the agent era. Yet, progress has largely focused on language-centric tasks such as program synthesis and debugging, leaving visual-centric coding underexplored.…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Kevin Qinghong Lin , Yuhao Zheng , Hangyu Ran , Dantong Zhu , Dongxing Mao , Linjie Li , Philip Torr , Alex Jinpeng Wang

Vector format has been popular for representing icons and sketches. It has also been famous for design purposes. Regarding image editing, research on vector graphics editing rarely exists in contrast with the raster counterpart. We…

Graphics · Computer Science 2025-02-28 Kunato Nishina , Yusuke Matsui

Glyph-based visualization achieves an impressive graphic design when associated with comprehensive visual metaphors, which help audiences effectively grasp the conveyed information through revealing data semantics. However, creating such…

Human-Computer Interaction · Computer Science 2022-09-14 Lu Ying , Xinhuan Shu , Dazhen Deng , Yuchen Yang , Tan Tang , Lingyun Yu , Yingcai Wu

Generating font glyphs of consistent style from one or a few reference glyphs, i.e., font completion, is an important task in topographical design. As the problem is more well-defined than general image style transfer tasks, thus it has…

Computer Vision and Pattern Recognition · Computer Science 2021-08-31 Ye Yuan , Wuyang Chen , Zhaowen Wang , Matthew Fisher , Zhifei Zhang , Zhangyang Wang , Hailin Jin

The integration of visual encoders and large language models (LLMs) has driven recent progress in multimodal large language models (MLLMs). However, the scarcity of high-quality instruction-tuning data for vision-language tasks remains a…

Computer Vision and Pattern Recognition · Computer Science 2024-02-06 Bin Wang , Fan Wu , Xiao Han , Jiahui Peng , Huaping Zhong , Pan Zhang , Xiaoyi Dong , Weijia Li , Wei Li , Jiaqi Wang , Conghui He

Vision-Language Models (VLMs) achieve outstanding performance, yet their huge model size severely hinders deployment on edge devices with limited resources. As an efficient model compression technique, vector quantization (VQ) excels in…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Zhong Wang , Zukang Xu , Xing Hu , Dawei Yang

Vector graphics are essential in design, providing artists with a versatile medium for creating resolution-independent and highly editable visual content. Recent advancements in vision-language and diffusion models have fueled interest in…

Computer Vision and Pattern Recognition · Computer Science 2025-01-08 Sagi Polaczek , Yuval Alaluf , Elad Richardson , Yael Vinker , Daniel Cohen-Or

Editing and animating text appearance for graphic designs, commercials, etc. remain highly skilled tasks requiring detailed, hands on efforts from artists. Automating these manual workflows requires balancing the competing goals of…

Graphics · Computer Science 2026-03-10 Kinjal Parikh , Danny M. Kaufman , David I. W. Levin , Alec Jacobson

Humans possess the remarkable skill of Visual Perception, the ability to see and understand the seen, helping them make sense of the visual world and, in turn, reason. Multimodal Large Language Models (MLLM) have recently achieved…

Computer Vision and Pattern Recognition · Computer Science 2023-12-25 Jitesh Jain , Jianwei Yang , Humphrey Shi

Typefaces are an essential resource employed by graphic designers. The increasing demand for innovative type design work increases the need for good technological means to assist the designer in the creation of a typeface. We present an…

Neural and Evolutionary Computing · Computer Science 2018-06-27 Tiago Martins , João Correia , Ernesto Costa , Penousal Machado

In the field of multimodal chain-of-thought (CoT) reasoning, existing approaches predominantly rely on reasoning on pure language space, which inherently suffers from language bias and is largely confined to math or science domains. This…

Computer Vision and Pattern Recognition · Computer Science 2026-05-04 Jiacong Wang , Zijian Kang , Haochen Wang , Haiyong Jiang , Jiawen Li , Bohong Wu , Ya Wang , Jiao Ran , Xiao Liang , Chao Feng , Jun Xiao

Scalable Vector Graphics (SVG) offer a powerful format for representing visual designs as interpretable code. Recent advances in vision-language models (VLMs) have enabled high-quality SVG generation by framing the problem as a code…

Recent vision-language model (VLM)-based approaches have achieved impressive results on image vectorization tasks. However, they are typically evaluated on synthetic benchmarks, where clean SVGs are rasterized at high resolution and then…

Computer Vision and Pattern Recognition · Computer Science 2026-05-26 Tarun Gehlaut , Difan Liu , Charu Bansal , Krutik Malani , Souymodip Chakraborty , Ankit Phogat , Matthew Fisher , Vineet Batra

Artistic font generation aims to synthesize stylized glyphs based on a reference style. However, existing approaches suffer from limited style diversity and coarse control. In this work, we explore the potential of element-driven artistic…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Wuyang Luo , Chengkai Tan , Chang Ge , Binye Hong , Su Yang , Yongjiu Ma

Advances in large language models (LLMs) offer new possibilities for enhancing math education by automating support for both teachers and students. While prior work has focused on generating math problems and high-quality distractors, the…

Artificial Intelligence · Computer Science 2025-03-11 Jaewook Lee , Jeongah Lee , Wanyong Feng , Andrew Lan

Recent advances in Vision-Language Models (VLMs) have enabled unified understanding across text and images, yet equipping these models with robust image generation capabilities remains challenging. Existing approaches often rely on…

Computer Vision and Pattern Recognition · Computer Science 2025-10-09 Xiangyi Chen , Théophane Vallaeys , Maha Elbayad , John Nguyen , Jakob Verbeek

Learning universal graph representations across heterogeneous domains is difficult because graph datasets differ in topology, node-attribute semantics, feature dimensions, and even attribute availability. We propose GraphVec, a…

Machine Learning · Computer Science 2026-05-08 Qi Feng , Jicong Fan

Recent advancements in large language models (LLMs) have shown significant potential for automating hardware description language (HDL) code generation from high-level natural language instructions. While fine-tuning has improved LLMs'…

Hardware Architecture · Computer Science 2025-02-27 Yi Liu , Changran Xu , Yunhao Zhou , Zeju Li , Qiang Xu

Dramatic advances in generative models have resulted in near photographic quality for artificially rendered faces, animals and other objects in the natural world. In spite of such advances, a higher level understanding of vision and imagery…

Computer Vision and Pattern Recognition · Computer Science 2019-04-05 Raphael Gontijo Lopes , David Ha , Douglas Eck , Jonathon Shlens

Scalable Vector Graphics (SVG) are central to modern web design, and the demand to animate them continues to grow as web environments become increasingly dynamic. Yet automating the animation of vector graphics remains challenging for…

Computer Vision and Pattern Recognition · Computer Science 2025-12-17 Jooyeol Yun , Jaegul Choo