Zobrazeno 1 - 10
of 215
pro vyhledávání: '"Zhang, Changgong"'
Autor:
Zhan, Fangneng, Yu, Yingchen, Wu, Rongliang, Zhang, Jiahui, Cui, Kaiwen, Zhang, Changgong, Lu, Shijian
Deep generative models have achieved conspicuous progress in realistic image synthesis with multifarious conditional inputs, while generating diverse yet high-fidelity images remains a grand challenge in conditional image generation. This paper prese
Externí odkaz:
http://arxiv.org/abs/2207.10776
Exemplar-based image translation establishes dense correspondences between a conditional input and an exemplar (from two different domains) for leveraging detailed exemplar styles to achieve realistic image translation. Existing work builds the cross
Externí odkaz:
http://arxiv.org/abs/2204.00442
Autor:
Zhang, Changgong, Chen, Jianhua, Wu, Huijuan, Wang, Jun, Gao, Liying, Zhao, Jun, Sun, Yan, Jia, Zhongyao, Mu, Xinlin, Bai, Chunmei, Wang, Rui, Wu, Kailiang, Liu, Qiang, Shi, Yuankai
Publikováno v:
In Cancer Pathogenesis and Therapy October 2024 2(4):268-275
Publikováno v:
ACM International Conference on Multimedia (ACM MM), 2021
Graph convolutional networks have significantly improved 3D human pose estimation by representing the human skeleton as an undirected graph. However, this representation fails to reflect the articulated characteristic of human skeletons as the hierar
Externí odkaz:
http://arxiv.org/abs/2107.07797
Autor:
Zhan, Fangneng, Zhang, Changgong, Hu, Wenbo, Lu, Shijian, Ma, Feiying, Xie, Xuansong, Shao, Ling
Accurate lighting estimation is challenging yet critical to many computer vision and computer graphics tasks such as high-dynamic-range (HDR) relighting. Existing approaches model lighting in either frequency domain or spatial domain which is insuffi
Externí odkaz:
http://arxiv.org/abs/2106.13090
Autor:
Zhan, Fangneng, Yu, Yingchen, Cui, Kaiwen, Zhang, Gongjie, Lu, Shijian, Pan, Jianxiong, Zhang, Changgong, Ma, Feiying, Xie, Xuansong, Miao, Chunyan
Despite the great success of GANs in images translation with different conditioned inputs such as semantic segmentation and edge maps, generating high-fidelity realistic images with reference styles remains a grand challenge in conditional image-to-i
Externí odkaz:
http://arxiv.org/abs/2106.10482
The 3D pose estimation from a single image is a challenging problem due to depth ambiguity. One type of the previous methods lifts 2D joints, obtained by resorting to external 2D pose detectors, to the 3D space. However, this type of approaches disca
Externí odkaz:
http://arxiv.org/abs/2104.03520
Autor:
Zhan, Fangneng, Yu, Yingchen, Zhang, Changgong, Wu, Rongliang, Hu, Wenbo, Lu, Shijian, Ma, Feiying, Xie, Xuansong, Shao, Ling
Inferring the scene illumination from a single image is an essential yet challenging task in computer vision and computer graphics. Existing works estimate lighting by regressing representative illumination parameters or generating illumination maps
Externí odkaz:
http://arxiv.org/abs/2102.10244
Autor:
Zhan, Fangneng, Zhang, Changgong, Yu, Yingchen, Chang, Yuan, Lu, Shijian, Ma, Feiying, Xie, Xuansong
Illumination estimation from a single image is critical in 3D rendering and it has been investigated extensively in the computer vision and computer graphic research community. On the other hand, existing works estimate illumination by either regress
Externí odkaz:
http://arxiv.org/abs/2012.11116
Dealing with the inconsistency between a foreground object and a background image is a challenging task in high-fidelity image composition. State-of-the-art methods strive to harmonize the composed image by adapting the style of foreground objects to
Externí odkaz:
http://arxiv.org/abs/2009.08255