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Generative AI for Visualization: State of the Art and Future Directions
April 30, 2024, 4:42 a.m. | Yilin Ye, Jianing Hao, Yihan Hou, Zhan Wang, Shishi Xiao, Yuyu Luo, Wei Zeng
cs.LG updates on arXiv.org arxiv.org
Abstract: Generative AI (GenAI) has witnessed remarkable progress in recent years and demonstrated impressive performance in various generation tasks in different domains such as computer vision and computational design. Many researchers have attempted to integrate GenAI into visualization framework, leveraging the superior generative capacity for different operations. Concurrently, recent major breakthroughs in GenAI like diffusion model and large language model have also drastically increase the potential of GenAI4VIS. From a technical perspective, this paper looks back …
abstract art arxiv capacity computational computer computer vision cs.ai cs.hc cs.lg design domains framework future genai generative performance progress researchers state state of the art tasks type vision visualization
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