Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jia, Guoli"'
Autor:
Ma, Zhiyuan, Zhang, Yuzhu, Jia, Guoli, Zhao, Liangliang, Ma, Yichao, Ma, Mingjie, Liu, Gaofeng, Zhang, Kaiyan, Li, Jianjun, Zhou, Bowen
As one of the most popular and sought-after generative models in the recent years, diffusion models have sparked the interests of many researchers and steadily shown excellent advantage in various generative tasks such as image synthesis, video gener
Externí odkaz:
http://arxiv.org/abs/2410.11795
Recently, stable diffusion (SD) models have typically flourished in the field of image synthesis and personalized editing, with a range of photorealistic and unprecedented images being successfully generated. As a result, widespread interest has been
Externí odkaz:
http://arxiv.org/abs/2407.13188
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
Autor:
Zhao, Pancheng, Xu, Peng, Qin, Pengda, Fan, Deng-Ping, Zhang, Zhicheng, Jia, Guoli, Zhou, Bowen, Yang, Jufeng
Camouflaged vision perception is an important vision task with numerous practical applications. Due to the expensive collection and labeling costs, this community struggles with a major bottleneck that the species category of its datasets is limited
Externí odkaz:
http://arxiv.org/abs/2404.00292
With the great success of text-conditioned diffusion models in creative text-to-image generation, various text-driven image editing approaches have attracted the attentions of many researchers. However, previous works mainly focus on discreteness-sen
Externí odkaz:
http://arxiv.org/abs/2312.08019
Autor:
Dang, Han, Xu, Runsheng, Zhang, Jianliang, Wang, Mingyong, Shi, Jinpeng, Zhang, Jinyin, He, Xiaoxia, Jia, Guoli, Hu, Zefang, Zhao, Dongming
Publikováno v:
In Fuel 1 November 2024 375
Publikováno v:
In Chemical Engineering Journal 1 June 2024 489
Humans are emotional creatures. Multiple modalities are often involved when we express emotions, whether we do so explicitly (e.g., facial expression, speech) or implicitly (e.g., text, image). Enabling machines to have emotional intelligence, i.e.,
Externí odkaz:
http://arxiv.org/abs/2108.10152
Autor:
Zhao, Sicheng, Yao, Xingxu, Yang, Jufeng, Jia, Guoli, Ding, Guiguang, Chua, Tat-Seng, Schuller, Björn W., Keutzer, Kurt
Images can convey rich semantics and induce various emotions in viewers. Recently, with the rapid advancement of emotional intelligence and the explosive growth of visual data, extensive research efforts have been dedicated to affective image content
Externí odkaz:
http://arxiv.org/abs/2106.16125
Publikováno v:
In Energy 1 August 2023 276
Publikováno v:
In Energy 1 July 2023 274