Zobrazeno 1 - 10
of 863
pro vyhledávání: '"Zhao Yajie"'
Publikováno v:
Xibei zhiwu xuebao, Vol 44, Iss 1, Pp 43-52 (2024)
[Objective] To study the physiological response of sunflowers to broomrape parasitism and the related metabolic pathways, as well as understanding the molecular mechanism of sunflower resistance to broomrape parasitism. [Methods] The broomrape-resi
Externí odkaz:
https://doaj.org/article/efc0290fd1b543058f7ec306afe3880c
Publikováno v:
Science and Technology for Energy Transition, Vol 79, p 46 (2024)
Electrified railroad has the characteristics of high safety factors, high comfort, large transportation capacity, and less time-consuming, which is an effective means to solve traffic congestion. However, with the rapid development of China’s elect
Externí odkaz:
https://doaj.org/article/93f78c24c61441e48e01831834dfb825
Autor:
Gao, Zhiyuan, Teng, Wenbin, Chen, Gonglin, Wu, Jinsen, Xu, Ningli, Qin, Rongjun, Feng, Andrew, Zhao, Yajie
Integrating aerial imagery-based scene generation into applications like autonomous driving and gaming enhances realism in 3D environments, but challenges remain in creating detailed content for occluded areas and ensuring real-time, consistent rende
Externí odkaz:
http://arxiv.org/abs/2409.16685
Autor:
Chen, Gonglin, Wu, Jinsen, Chen, Haiwei, Teng, Wenbin, Gao, Zhiyuan, Feng, Andrew, Qin, Rongjun, Zhao, Yajie
Establishing consistent and dense correspondences across multiple images is crucial for Structure from Motion (SfM) systems. Significant view changes, such as air-to-ground with very sparse view overlap, pose an even greater challenge to the correspo
Externí odkaz:
http://arxiv.org/abs/2409.02310
Autor:
Xiao, Hanyuan, Chen, Yingshu, Huang, Huajian, Xiong, Haolin, Yang, Jing, Prasad, Pratusha, Zhao, Yajie
Recent text-guided generation of individual 3D object has achieved great success using diffusion priors. However, these methods are not suitable for object insertion and replacement tasks as they do not consider the background, leading to illuminatio
Externí odkaz:
http://arxiv.org/abs/2408.00083
Autor:
Chen, Haiwei, Zhao, Yajie
We present a method for large-mask pluralistic image inpainting based on the generative framework of discrete latent codes. Our method learns latent priors, discretized as tokens, by only performing computations at the visible locations of the image.
Externí odkaz:
http://arxiv.org/abs/2403.18186
Autor:
Lu, Liupei, Yin, Yufeng, Gu, Yuming, Wu, Yizhen, Prasad, Pratusha, Zhao, Yajie, Soleymani, Mohammad
Facial action unit (AU) detection is a fundamental block for objective facial expression analysis. Supervised learning approaches require a large amount of manual labeling which is costly. The limited labeled data are also not diverse in terms of gen
Externí odkaz:
http://arxiv.org/abs/2403.10737
Autor:
Zhao Yajie
Publikováno v:
E3S Web of Conferences, Vol 292, p 02042 (2021)
Innovation is the source of power for the development of an enterprise. The enterprise aims to increase investment in research and development to maintain technological innovation capabilities, thereby enhancing its own competitive advantage. In orde
Externí odkaz:
https://doaj.org/article/a27b3a25904344d6b0e585743478a529
Physically-based rendering (PBR) is key for immersive rendering effects used widely in the industry to showcase detailed realistic scenes from computer graphics assets. A well-known caveat is that producing the same is computationally heavy and relie
Externí odkaz:
http://arxiv.org/abs/2304.05472
Can we customize a deep generative model which can generate images that can match the texture of some given image? When you see an image of a church, you may wonder if you can get similar pictures for that church. Here we present a method, for adapti
Externí odkaz:
http://arxiv.org/abs/2302.10600