Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Bai, Qingyan"'
Autor:
Bai, Qingyan, Shi, Zifan, Xu, Yinghao, Ouyang, Hao, Wang, Qiuyu, Yang, Ceyuan, Wang, Xuan, Wetzstein, Gordon, Shen, Yujun, Chen, Qifeng
This work presents 3DPE, a practical method that can efficiently edit a face image following given prompts, like reference images or text descriptions, in a 3D-aware manner. To this end, a lightweight module is distilled from a 3D portrait generator
Externí odkaz:
http://arxiv.org/abs/2402.14000
Autor:
Ouyang, Hao, Wang, Qiuyu, Xiao, Yuxi, Bai, Qingyan, Zhang, Juntao, Zheng, Kecheng, Zhou, Xiaowei, Chen, Qifeng, Shen, Yujun
We present the content deformation field CoDeF as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire video and a temporal deformation field recording the transformations from
Externí odkaz:
http://arxiv.org/abs/2308.07926
A good metric, which promises a reliable comparison between solutions, is essential for any well-defined task. Unlike most vision tasks that have per-sample ground-truth, image synthesis tasks target generating unseen data and hence are usually evalu
Externí odkaz:
http://arxiv.org/abs/2304.01999
Generative adversarial network (GAN) is formulated as a two-player game between a generator (G) and a discriminator (D), where D is asked to differentiate whether an image comes from real data or is produced by G. Under such a formulation, D plays as
Externí odkaz:
http://arxiv.org/abs/2212.03752
Inverting a Generative Adversarial Network (GAN) facilitates a wide range of image editing tasks using pre-trained generators. Existing methods typically employ the latent space of GANs as the inversion space yet observe the insufficient recovery of
Externí odkaz:
http://arxiv.org/abs/2203.11105
Autor:
Yin, Fei, Zhang, Yong, Cun, Xiaodong, Cao, Mingdeng, Fan, Yanbo, Wang, Xuan, Bai, Qingyan, Wu, Baoyuan, Wang, Jue, Yang, Yujiu
One-shot talking face generation aims at synthesizing a high-quality talking face video from an arbitrary portrait image, driven by a video or an audio segment. One challenging quality factor is the resolution of the output video: higher resolution c
Externí odkaz:
http://arxiv.org/abs/2203.04036
Recent face generation methods have tried to synthesize faces based on the given contour condition, like a low-resolution image or sketch. However, the problem of identity ambiguity remains unsolved, which usually occurs when the contour is too vague
Externí odkaz:
http://arxiv.org/abs/2110.04854
Publikováno v:
In Journal of Industrial and Engineering Chemistry 25 November 2024 139:94-110
Publikováno v:
In Talanta 1 June 2024 273
Autor:
Gu, Jinjin, Cai, Haoming, Dong, Chao, Ren, Jimmy S., Qiao, Yu, Gu, Shuhang, Timofte, Radu, Cheon, Manri, Yoon, Sungjun, Kang, Byungyeon, Lee, Junwoo, Zhang, Qing, Guo, Haiyang, Bin, Yi, Hou, Yuqing, Luo, Hengliang, Guo, Jingyu, Wang, Zirui, Wang, Hai, Yang, Wenming, Bai, Qingyan, Shi, Shuwei, Xia, Weihao, Cao, Mingdeng, Wang, Jiahao, Chen, Yifan, Yang, Yujiu, Li, Yang, Zhang, Tao, Feng, Longtao, Liao, Yiting, Li, Junlin, Thong, William, Pereira, Jose Costa, Leonardis, Ales, McDonagh, Steven, Xu, Kele, Yang, Lehan, Cai, Hengxing, Sun, Pengfei, Ayyoubzadeh, Seyed Mehdi, Royat, Ali, Fezza, Sid Ahmed, Hammou, Dounia, Hamidouche, Wassim, Ahn, Sewoong, Yoon, Gwangjin, Tsubota, Koki, Akutsu, Hiroaki, Aizawa, Kiyoharu
This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing techno
Externí odkaz:
http://arxiv.org/abs/2105.03072