Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Fang, Guian"'
Autor:
Fang, Guian, Yan, Wenbiao, Guo, Yuanfan, Han, Jianhua, Jiang, Zutao, Xu, Hang, Liao, Shengcai, Liang, Xiaodan
Text-to-image diffusion models have significantly advanced in conditional image generation. However, these models usually struggle with accurately rendering images featuring humans, resulting in distorted limbs and other anomalies. This issue primari
Externí odkaz:
http://arxiv.org/abs/2407.06937
Data visualization serves as a critical means for presenting data and mining its valuable insights. The task of chart summarization, through natural language processing techniques, facilitates in-depth data analysis of charts. However, there still ar
Externí odkaz:
http://arxiv.org/abs/2403.11236
Recent advancements in text-to-image models, particularly diffusion models, have shown significant promise. However, compositional text-to-image models frequently encounter difficulties in generating high-quality images that accurately align with inp
Externí odkaz:
http://arxiv.org/abs/2310.06311
Autor:
Fang, Guian, Liu, Mengsha, Zhong, Yi, Zhang, Zhuolin, Huang, Jiehui, Tang, Zhenchao, Chen, Calvin Yu-Chian
Alzheimer's disease is a progressive neurological disorder characterized by cognitive impairment and memory loss. With the increasing aging population, the incidence of AD is continuously rising, making early diagnosis and intervention an urgent need
Externí odkaz:
http://arxiv.org/abs/2311.12842
The paper uses machine learning and mathematical modeling to predict future vaccine distribution and solve the problem of allocating vaccines to different types of hospitals. They collected data and analyzed it, finding factors such as nearby residen
Externí odkaz:
http://arxiv.org/abs/2306.07223
False information can spread quickly on social media, negatively influencing the citizens' behaviors and responses to social events. To better detect all of the fake news, especially long texts which are harder to find completely, a Long-Text Chinese
Externí odkaz:
http://arxiv.org/abs/2306.07201
Recent advances in text-to-image diffusion models have achieved remarkable success in generating high-quality, realistic images from given text prompts. However, previous methods fail to perform accurate modality alignment between text concepts and g
Externí odkaz:
http://arxiv.org/abs/2305.19599