Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Ren, Peiran"'
Image aesthetics assessment (IAA) is attracting wide interest with the prevalence of social media. The problem is challenging due to its subjective and ambiguous nature. Instead of directly extracting aesthetic features solely from the image, user co
Externí odkaz:
http://arxiv.org/abs/2405.01326
Autor:
Liu, Xiaoyu, Wei, Yuxiang, Liu, Ming, Lin, Xianhui, Ren, Peiran, Xie, Xuansong, Zuo, Wangmeng
Human visual imagination usually begins with analogies or rough sketches. For example, given an image with a girl playing guitar before a building, one may analogously imagine how it seems like if Iron Man playing guitar before Pyramid in Egypt. None
Externí odkaz:
http://arxiv.org/abs/2404.06451
Autor:
Zhang, Yabo, Wei, Yuxiang, Lin, Xianhui, Hui, Zheng, Ren, Peiran, Xie, Xuansong, Ji, Xiangyang, Zuo, Wangmeng
Text-to-image diffusion models (T2I) have demonstrated unprecedented capabilities in creating realistic and aesthetic images. On the contrary, text-to-video diffusion models (T2V) still lag far behind in frame quality and text alignment, owing to ins
Externí odkaz:
http://arxiv.org/abs/2403.05438
Autor:
Feng, Mengyang, Liu, Jinlin, Yu, Kai, Yao, Yuan, Hui, Zheng, Guo, Xiefan, Lin, Xianhui, Xue, Haolan, Shi, Chen, Li, Xiaowen, Li, Aojie, Kang, Xiaoyang, Lei, Biwen, Cui, Miaomiao, Ren, Peiran, Xie, Xuansong
In this paper, we present DreaMoving, a diffusion-based controllable video generation framework to produce high-quality customized human videos. Specifically, given target identity and posture sequences, DreaMoving can generate a video of the target
Externí odkaz:
http://arxiv.org/abs/2312.05107
Image aesthetics assessment (IAA) aims to estimate the aesthetics of images. Depending on the content of an image, diverse criteria need to be selected to assess its aesthetics. Existing works utilize pre-trained vision backbones based on content kno
Externí odkaz:
http://arxiv.org/abs/2309.02861
Publikováno v:
The European Conference on Computer Vision (ECCV) 2024
Diffusion models have demonstrated impressive performance in various image generation, editing, enhancement and translation tasks. In particular, the pre-trained text-to-image stable diffusion models provide a potential solution to the challenging re
Externí odkaz:
http://arxiv.org/abs/2308.14469
Low-Light Video Enhancement (LLVE) has received considerable attention in recent years. One of the critical requirements of LLVE is inter-frame brightness consistency, which is essential for maintaining the temporal coherence of the enhanced video. H
Externí odkaz:
http://arxiv.org/abs/2308.06749
Retouching images is an essential aspect of enhancing the visual appeal of photos. Although users often share common aesthetic preferences, their retouching methods may vary based on their individual preferences. Therefore, there is a need for white-
Externí odkaz:
http://arxiv.org/abs/2303.08682
In supervised image restoration tasks, one key issue is how to obtain the aligned high-quality (HQ) and low-quality (LQ) training image pairs. Unfortunately, such HQ-LQ training pairs are hard to capture in practice, and hard to synthesize due to the
Externí odkaz:
http://arxiv.org/abs/2303.06994
Image colorization is a challenging problem due to multi-modal uncertainty and high ill-posedness. Directly training a deep neural network usually leads to incorrect semantic colors and low color richness. While transformer-based methods can deliver
Externí odkaz:
http://arxiv.org/abs/2212.11613