Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Liangyu Chai"'
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-8
Publikováno v:
CVPR
Generative adversarial networks (GANs) learn to map noise latent vectors to high-fidelity image outputs. It is found that the input latent space shows semantic correlations with the output image space. Recent works aim to interpret the latent space a
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(6)
In this paper, we introduce a novel yet challenging research problem, interactive crowd video generation, committed to producing diverse and continuous crowd video, and relieving the difficulty of insufficient annotated real-world datasets in crowd a
Autor:
Wu, Zongwei, Chai, Liangyu, Zhao, Nanxuan, Deng, Bailin, Liu, Yongtuo, Wen, Qiang, Wang, Junle, He, Shengfeng
Publikováno v:
ACM Transactions on Graphics; Dec2022, Vol. 41 Issue 6, p1-16, 16p
Publikováno v:
IEEE Transactions on Pattern Analysis & Machine Intelligence; Jun2022, Vol. 44 Issue 6, p2856-2871, 16p
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; May2024, Vol. 20 Issue 5, p1-23, 23p
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
This paper presents a Generative prior ReciprocAted Invertible rescaling Network (GRAIN) for generating faithful high-resolution (HR) images from low-resolution (LR) invertible images with an extreme upscaling factor (64$\times$). Previous researches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888980bf4c132cbb45be04cf2709ad6a
https://orca.cardiff.ac.uk/id/eprint/148910/1/paper.pdf
https://orca.cardiff.ac.uk/id/eprint/148910/1/paper.pdf
Autor:
NAN GAO, HAO XUE, WEI SHAO, SICHEN ZHAO, KYLE KAI QIN, PRABOWO, ARIAN, RAHAMAN, MOHAMMAD SAIEDUR, SALIM, FLORA D.
Publikováno v:
ACM Transactions on Intelligent Systems & Technology; Apr2022, Vol. 13 Issue 2, p1-25, 25p