Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Kirac, Furkan"'
Autor:
Ershov, Egor, Panshin, Artyom, Karasev, Oleg, Korchagin, Sergey, Lev, Shepelev, Startsev, Alexandr, Vladimirov, Daniil, Zaychenkova, Ekaterina, Banić, Nikola, Iarchuk, Dmitrii, Efimova, Maria, Timofte, Radu, Terekhin, Arseniy, Yue, Shuwei, Liu, Yuyang, Wei, Minchen, Xu, Lu, Zhang, Chao, Wang, Yasi, Kınlı, Furkan, Yılmaz, Doğa, Özcan, Barış, Kıraç, Furkan, Liu, Shuai, Xiao, Jingyuan, Feng, Chaoyu, Wang, Hao, Shao, Guangqi, Zhang, Yuqian, Huang, Yibin, Luo, Wei, Wang, Liming, Wang, Xiaotao, Lei, Lei, Zini, Simone, Rota, Claudio, Buzzelli, Marco, Bianco, Simone, Schettini, Raimondo, Guo, Jin, Liu, Tianli, Wu, Mohao, Shao, Ben, Yang, Qirui, Li, Xianghui, Cheng, Qihua, Zhang, Fangpu, Xu, Zhiqiang, Yang, Jingyu, Yue, Huanjing
This paper presents a review of the NTIRE 2024 challenge on night photography rendering. The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions, and thereby produce a photo-quality output images i
Externí odkaz:
http://arxiv.org/abs/2406.13007
Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB correction method that achieves a
Externí odkaz:
http://arxiv.org/abs/2308.03939
Autor:
Conde, Marcos V., Timofte, Radu, Huang, Yibin, Peng, Jingyang, Chen, Chang, Li, Cheng, Pérez-Pellitero, Eduardo, Song, Fenglong, Bai, Furui, Liu, Shuai, Feng, Chaoyu, Wang, Xiaotao, Lei, Lei, Zhu, Yu, Li, Chenghua, Jiang, Yingying, A, Yong, Wang, Peisong, Leng, Cong, Cheng, Jian, Liu, Xiaoyu, Yin, Zhicun, Zhang, Zhilu, Li, Junyi, Liu, Ming, Zuo, Wangmeng, Jiang, Jun, Kim, Jinha, Zhang, Yue, Zou, Beiji, Zong, Zhikai, Liu, Xiaoxiao, Vega, Juan Marín, Sloth, Michael, Schneider-Kamp, Peter, Röttger, Richard, Kınlı, Furkan, Özcan, Barış, Kıraç, Furkan, Leyi, Li, Uddin, SM Nadim, Ghosh, Dipon Kumar, Jung, Yong Ju
Cameras capture sensor RAW images and transform them into pleasant RGB images, suitable for the human eyes, using their integrated Image Signal Processor (ISP). Numerous low-level vision tasks operate in the RAW domain (e.g. image denoising, white ba
Externí odkaz:
http://arxiv.org/abs/2210.11153
Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the single- and multi-illuminant
Externí odkaz:
http://arxiv.org/abs/2210.09090
RAW image datasets are more suitable than the standard RGB image datasets for the ill-posed inverse problems in low-level vision, but not common in the literature. There are also a few studies to focus on mapping sRGB images to RAW format. Mapping fr
Externí odkaz:
http://arxiv.org/abs/2210.09074
Autor:
Kınlı, Furkan, Menteş, Sami, Özcan, Barış, Kıraç, Furkan, Timofte, Radu, Zuo, Yi, Wang, Zitao, Zhang, Xiaowen, Zhu, Yu, Li, Chenghua, Leng, Cong, Cheng, Jian, Liu, Shuai, Feng, Chaoyu, Bai, Furui, Wang, Xiaotao, Lei, Lei, Ma, Tianzhi, Gao, Zihan, He, Wenxin, Yeo, Woon-Ha, Oh, Wang-Taek, Kim, Young-Il, Ryu, Han-Cheol, He, Gang, Long, Shaoyi, Sharif, S. M. A., Naqvi, Rizwan Ali, Kim, Sungjun, Kim, Guisik, Lee, Seohyeon, Nathan, Sabari, Kansal, Priya
This paper introduces the methods and the results of AIM 2022 challenge on Instagram Filter Removal. Social media filters transform the images by consecutive non-linear operations, and the feature maps of the original content may be interpolated into
Externí odkaz:
http://arxiv.org/abs/2210.08997
Image-level corruptions and perturbations degrade the performance of CNNs on different downstream vision tasks. Social media filters are one of the most common resources of various corruptions and perturbations for real-world visual analysis applicat
Externí odkaz:
http://arxiv.org/abs/2204.07486
Social media images are generally transformed by filtering to obtain aesthetically more pleasing appearances. However, CNNs generally fail to interpret both the image and its filtered version as the same in the visual analysis of social media images.
Externí odkaz:
http://arxiv.org/abs/2104.05072
Fashion image understanding is an active research field with a large number of practical applications for the industry. Despite its practical impacts on intelligent fashion analysis systems, clothing image inpainting has not been extensively examined
Externí odkaz:
http://arxiv.org/abs/2007.05080
Capsules are grouping of neurons that allow to represent sophisticated information of a visual entity such as pose and features. In the view of this property, Capsule Networks outperform CNNs in challenging tasks like object recognition in unseen vie
Externí odkaz:
http://arxiv.org/abs/2007.04389