Zobrazeno 1 - 10
of 500
pro vyhledávání: '"Sun, Jianxin"'
Large language models (LLMs) are emerging as few-shot learners capable of handling a variety of tasks, including comprehension, planning, reasoning, question answering, arithmetic calculations, and more. At the core of these capabilities is LLMs' pro
Externí odkaz:
http://arxiv.org/abs/2411.01807
Autor:
Pan, Yu, Sun, Jianxin, Yu, Hongfeng, Luck, Joe, Bai, Geng, Chamara, Nipuna, Ge, Yufeng, Awada, Tala
Current agricultural data management and analysis paradigms are to large extent traditional, in which data collecting, curating, integration, loading, storing, sharing and analyzing still involve too much human effort and know-how. The experts, resea
Externí odkaz:
http://arxiv.org/abs/2411.00188
Functional approximation as a high-order continuous representation provides a more accurate value and gradient query compared to the traditional discrete volume representation. Volume visualization directly rendered from functional approximation gene
Externí odkaz:
http://arxiv.org/abs/2409.00184
Considering the challenges posed by the space and time complexities in handling extensive scientific volumetric data, various data representations have been developed for the analysis of large-scale scientific data. Multivariate functional approximat
Externí odkaz:
http://arxiv.org/abs/2312.15073
Modern agriculture faces grand challenges to meet increased demands for food, fuel, feed, and fiber with population growth under the constraints of climate change and dwindling natural resources. Data innovation is urgently required to secure and imp
Externí odkaz:
http://arxiv.org/abs/2401.13672
Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task. The portrait styles generated by most existing methods are usually restricted by their 3D generators, which are learned in specif
Externí odkaz:
http://arxiv.org/abs/2306.15419
Safeguarding data from unauthorized exploitation is vital for privacy and security, especially in recent rampant research in security breach such as adversarial/membership attacks. To this end, \textit{unlearnable examples} (UEs) have been recently p
Externí odkaz:
http://arxiv.org/abs/2305.09241
Autor:
Zhang, Kaiduo, Sun, Muyi, Sun, Jianxin, Zhao, Binghao, Zhang, Kunbo, Sun, Zhenan, Tan, Tieniu
Text-driven person image generation is an emerging and challenging task in cross-modality image generation. Controllable person image generation promotes a wide range of applications such as digital human interaction and virtual try-on. However, prev
Externí odkaz:
http://arxiv.org/abs/2211.06235
3D volume rendering is widely used to reveal insightful intrinsic patterns of volumetric datasets across many domains. However, the complex structures and varying scales of volumetric data can make efficiently generating high-quality volume rendering
Externí odkaz:
http://arxiv.org/abs/2204.11762
Existing text-to-image synthesis methods generally are only applicable to words in the training dataset. However, human faces are so variable to be described with limited words. So this paper proposes the first free-style text-to-face method namely A
Externí odkaz:
http://arxiv.org/abs/2203.15334