Zobrazeno 1 - 10
of 561
pro vyhledávání: '"Wang, Xiaotao"'
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
Autor:
Dai, Yuekun, Zhang, Dafeng, Li, Xiaoming, Yue, Zongsheng, Li, Chongyi, Zhou, Shangchen, Feng, Ruicheng, Yang, Peiqing, Jin, Zhezhu, Liu, Guanqun, Loy, Chen Change, Zhang, Lize, Liu, Shuai, Feng, Chaoyu, Wang, Luyang, Chen, Shuan, Shao, Guangqi, Wang, Xiaotao, Lei, Lei, Yang, Qirui, Cheng, Qihua, Xu, Zhiqiang, Liu, Yihao, Yue, Huanjing, Yang, Jingyu, Vasluianu, Florin-Alexandru, Wu, Zongwei, Ciubotariu, George, Timofte, Radu, Zhang, Zhao, Zhao, Suiyi, Wang, Bo, Zuo, Zhichao, Wei, Yanyan, Teja, Kuppa Sai Sri, A, Jayakar Reddy, Rongali, Girish, Mitra, Kaushik, Ma, Zhihao, Liu, Yongxu, Zhang, Wanying, Shang, Wei, He, Yuhong, Peng, Long, Yu, Zhongxin, Luo, Shaofei, Wang, Jian, Miao, Yuqi, Li, Baiang, Wei, Gang, Verma, Rakshank, Maheshwari, Ritik, Tekchandani, Rahul, Hambarde, Praful, Tazi, Satya Narayan, Vipparthi, Santosh Kumar, Murala, Subrahmanyam, Zhang, Haopeng, Hou, Yingli, Yao, Mingde, S, Levin M, Sundararajan, Aniruth, A, Hari Kumar
The increasing demand for computational photography and imaging on mobile platforms has led to the widespread development and integration of advanced image sensors with novel algorithms in camera systems. However, the scarcity of high-quality data fo
Externí odkaz:
http://arxiv.org/abs/2404.19534
Real-world image de-weathering aims at removing various undesirable weather-related artifacts. Owing to the impossibility of capturing image pairs concurrently, existing real-world de-weathering datasets often exhibit inconsistent illumination, posit
Externí odkaz:
http://arxiv.org/abs/2310.14958
Merging multi-exposure images is a common approach for obtaining high dynamic range (HDR) images, with the primary challenge being the avoidance of ghosting artifacts in dynamic scenes. Recent methods have proposed using deep neural networks for degh
Externí odkaz:
http://arxiv.org/abs/2310.01840
For improving image composition and aesthetic quality, most existing methods modulate the captured images by striking out redundant content near the image borders. However, such image cropping methods are limited in the range of image views. Some met
Externí odkaz:
http://arxiv.org/abs/2309.12042
Autor:
Liu, Xiaohong, Min, Xiongkuo, Sun, Wei, Zhang, Yulun, Zhang, Kai, Timofte, Radu, Zhai, Guangtao, Gao, Yixuan, Cao, Yuqin, Kou, Tengchuan, Dong, Yunlong, Jia, Ziheng, Li, Yilin, Wu, Wei, Hu, Shuming, Deng, Sibin, Xiao, Pengxiang, Chen, Ying, Li, Kai, Zhao, Kai, Yuan, Kun, Sun, Ming, Cong, Heng, Wang, Hao, Fu, Lingzhi, Zhang, Yusheng, Zhang, Rongyu, Shi, Hang, Xu, Qihang, Xiao, Longan, Ma, Zhiliang, Agarla, Mirko, Celona, Luigi, Rota, Claudio, Schettini, Raimondo, Huang, Zhiwei, Li, Yanan, Wang, Xiaotao, Lei, Lei, Liu, Hongye, Hong, Wei, Chuang, Ironhead, Lin, Allen, Guan, Drake, Chen, Iris, Lou, Kae, Huang, Willy, Tasi, Yachun, Kao, Yvonne, Fan, Haotian, Kong, Fangyuan, Zhou, Shiqi, Liu, Hao, Lai, Yu, Chen, Shanshan, Wang, Wenqi, Wu, Haoning, Chen, Chaofeng, Zhu, Chunzheng, Guo, Zekun, Zhao, Shiling, Yin, Haibing, Wang, Hongkui, Meftah, Hanene Brachemi, Fezza, Sid Ahmed, Hamidouche, Wassim, Déforges, Olivier, Shi, Tengfei, Mansouri, Azadeh, Motamednia, Hossein, Bakhtiari, Amir Hossein, Aznaveh, Ahmad Mahmoudi
This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2023. This challenge is to address a major cha
Externí odkaz:
http://arxiv.org/abs/2307.09729
Modern consumer cameras usually employ the rolling shutter (RS) mechanism, where images are captured by scanning scenes row-by-row, yielding RS distortions for dynamic scenes. To correct RS distortions, existing methods adopt a fully supervised learn
Externí odkaz:
http://arxiv.org/abs/2305.19862
Significant progress has been made in self-supervised image denoising (SSID) in the recent few years. However, most methods focus on dealing with spatially independent noise, and they have little practicality on real-world sRGB images with spatially
Externí odkaz:
http://arxiv.org/abs/2303.14934
Autor:
Ignatov, Andrey, Timofte, Radu, Zhang, Jin, Zhang, Feng, Yu, Gaocheng, Ma, Zhe, Wang, Hongbin, Kwon, Minsu, Qian, Haotian, Tong, Wentao, Mu, Pan, Wang, Ziping, Yan, Guangjing, Lee, Brian, Fei, Lei, Chen, Huaijin, Cho, Hyebin, Kwon, Byeongjun, Kim, Munchurl, Qian, Mingyang, Ma, Huixin, Li, Yanan, Wang, Xiaotao, Lei, Lei
As mobile cameras with compact optics are unable to produce a strong bokeh effect, lots of interest is now devoted to deep learning-based solutions for this task. In this Mobile AI challenge, the target was to develop an efficient end-to-end AI-based
Externí odkaz:
http://arxiv.org/abs/2211.06769
Autor:
Ignatov, Andrey, Timofte, Radu, Liu, Shuai, Feng, Chaoyu, Bai, Furui, Wang, Xiaotao, Lei, Lei, Yi, Ziyao, Xiang, Yan, Liu, Zibin, Li, Shaoqing, Shi, Keming, Kong, Dehui, Xu, Ke, Kwon, Minsu, Wu, Yaqi, Zheng, Jiesi, Fan, Zhihao, Wu, Xun, Zhang, Feng, No, Albert, Cho, Minhyeok, Chen, Zewen, Zhang, Xiaze, Li, Ran, Wang, Juan, Wang, Zhiming, Conde, Marcos V., Choi, Ui-Jin, Perevozchikov, Georgy, Ershov, Egor, Hui, Zheng, Dong, Mengchuan, Lou, Xin, Zhou, Wei, Pang, Cong, Qin, Haina, Cai, Mingxuan
The role of mobile cameras increased dramatically over the past few years, leading to more and more research in automatic image quality enhancement and RAW photo processing. In this Mobile AI challenge, the target was to develop an efficient end-to-e
Externí odkaz:
http://arxiv.org/abs/2211.03885