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 rese...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 models and large language models have also drastically increased the potential of GenAI4VIS.From a technical perspective,this paper looks back on previous visualization studies leveraging GenAI and discusses the challenges and opportunities for future research.Specifically,we cover the applications of different types of GenAI methods including sequence,tabular,spatial and graph generation techniques for different tasks of visualization which we summarize into four major stages:data enhancement,visual mapping generation,stylization and interaction.For each specific visualization sub-task,we illustrate the typical data and concrete GenAI algorithms,aiming to provide in-depth understanding of the state-of-the-art GenAI4VIS techniques and their limitations.Furthermore,based on the survey,we discuss three major aspects of challenges and research opportunities including evaluation,dataset,and the gap between end-to-end GenAI methods and visualizations.By summarizing different generation algorithms,their current applications and limitations,this paper endeavors to provide useful insights for future GenAI4VIS research.展开更多
Atkamine is a complex marine pyrroloiminoquinone alkaloid that comprises a heptacyclic scaffold bearing five different heterocycles and four contiguous stereocenters,and therefore it is a highly challenging target for...Atkamine is a complex marine pyrroloiminoquinone alkaloid that comprises a heptacyclic scaffold bearing five different heterocycles and four contiguous stereocenters,and therefore it is a highly challenging target for synthetic chemists.We herein reported a modular synthetic strategy toward this alkaloid,featuring a formal [5+2] annulation and an asymmetric Michael addition.The efficient synthesis of the long-chain aliphatic aldehyde and chiral amino acetal fragments have been achieved.A simplified tetracyclic intermediate bearing the core structure of atkamine has been successfully constructed through the formal [5+2] annulation.展开更多
基金Guangzhou Basic and Applied Basic Research Foundation(2024A04J6462,2023A03J0142)Guangdong Basic and Applied Basic Research Foundation(2023A1515110545).
文摘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 models and large language models have also drastically increased the potential of GenAI4VIS.From a technical perspective,this paper looks back on previous visualization studies leveraging GenAI and discusses the challenges and opportunities for future research.Specifically,we cover the applications of different types of GenAI methods including sequence,tabular,spatial and graph generation techniques for different tasks of visualization which we summarize into four major stages:data enhancement,visual mapping generation,stylization and interaction.For each specific visualization sub-task,we illustrate the typical data and concrete GenAI algorithms,aiming to provide in-depth understanding of the state-of-the-art GenAI4VIS techniques and their limitations.Furthermore,based on the survey,we discuss three major aspects of challenges and research opportunities including evaluation,dataset,and the gap between end-to-end GenAI methods and visualizations.By summarizing different generation algorithms,their current applications and limitations,this paper endeavors to provide useful insights for future GenAI4VIS research.
基金the National Natural Science Foundation of China for financial support of this work by grants (Nos.21772164 and 21572187)the National Found for Fostering Talents of Basic Science (NFFTBS,No.J1310024)+1 种基金New Century Excellent Talents in University of Fujian Province (NECTFJ)Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT) for support。
文摘Atkamine is a complex marine pyrroloiminoquinone alkaloid that comprises a heptacyclic scaffold bearing five different heterocycles and four contiguous stereocenters,and therefore it is a highly challenging target for synthetic chemists.We herein reported a modular synthetic strategy toward this alkaloid,featuring a formal [5+2] annulation and an asymmetric Michael addition.The efficient synthesis of the long-chain aliphatic aldehyde and chiral amino acetal fragments have been achieved.A simplified tetracyclic intermediate bearing the core structure of atkamine has been successfully constructed through the formal [5+2] annulation.
