NTIRE 2024 Quality Assessment of AI-Generated Content Challenge

Autor: Liu, Xiaohong, Min, Xiongkuo, Zhai, Guangtao, Li, Chunyi, Kou, Tengchuan, Sun, Wei, Wu, Haoning, Gao, Yixuan, Cao, Yuqin, Zhang, Zicheng, Wu, Xiele, Timofte, Radu, Peng, Fei, Fu, Huiyuan, Ming, Anlong, Wang, Chuanming, Ma, Huadong, He, Shuai, Dou, Zifei, Chen, Shu, Zhang, Huacong, Xie, Haiyi, Wang, Chengwei, Chen, Baoying, Zeng, Jishen, Yang, Jianquan, Wang, Weigang, Fang, Xi, Lv, Xiaoxin, Yan, Jun, Zhi, Tianwu, Zhang, Yabin, Li, Yaohui, Li, Yang, Xu, Jingwen, Liu, Jianzhao, Liao, Yiting, Li, Junlin, Yu, Zihao, Lu, Yiting, Li, Xin, Motamednia, Hossein, Hosseini-Benvidi, S. Farhad, Guan, Fengbin, Mahmoudi-Aznaveh, Ahmad, Mansouri, Azadeh, Gankhuyag, Ganzorig, Yoon, Kihwan, Xu, Yifang, Fan, Haotian, Kong, Fangyuan, Zhao, Shiling, Dong, Weifeng, Yin, Haibing, Zhu, Li, Wang, Zhiling, Huang, Bingchen, Saha, Avinab, Mishra, Sandeep, Gupta, Shashank, Sureddi, Rajesh, Saha, Oindrila, Celona, Luigi, Bianco, Simone, Napoletano, Paolo, Schettini, Raimondo, Yang, Junfeng, Fu, Jing, Zhang, Wei, Cao, Wenzhi, Liu, Limei, Peng, Han, Yuan, Weijun, Li, Zhan, Cheng, Yihang, Deng, Yifan, Li, Haohui, Qu, Bowen, Li, Yao, Luo, Shuqing, Wang, Shunzhou, Gao, Wei, Lu, Zihao, Conde, Marcos V., Wang, Xinrui, Chen, Zhibo, Liao, Ruling, Ye, Yan, Wang, Qiulin, Li, Bing, Zhou, Zhaokun, Geng, Miao, Chen, Rui, Tao, Xin, Liang, Xiaoyu, Sun, Shangkun, Ma, Xingyuan, Li, Jiaze, Yang, Mengduo, Xu, Haoran, Zhou, Jie, Zhu, Shiding, Yu, Bohan, Chen, Pengfei, Xu, Xinrui, Shen, Jiabin, Duan, Zhichao, Asadi, Erfan, Liu, Jiahe, Yan, Qi, Qu, Youran, Zeng, Xiaohui, Wang, Lele, Liao, Renjie

This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2024. This challenge is to address a major

Externí odkaz: http://arxiv.org/abs/2404.16687

Overview of the Screen Content Support in VVC: Applications, Coding Tools, and Performance

Autor: Gary J. Sullivan, Tung Nguyen, Detlev Marpe, Mohammed Golam Sarwer, Marta Karczewicz, Chao Yung-Hsuan, Felix Henry, Shan Liu, Liao Ruling, Xu Jizheng, Xu Xiaozhong

Publikováno v: IEEE Transactions on Circuits and Systems for Video Technology. 31:3801-3817

In an increasingly connected world, consumer video experiences have diversified away from traditional broadcast video into new applications with increased use of non-camera-captured content such as computer screen desktop recordings or animations cre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edf4734ac552a257cfef84b610f80123
https://doi.org/10.1109/tcsvt.2021.3074312

Multi-Density Convolutional Neural Network for In-Loop Filter in Video Coding

Autor: Yan Ye, Liao Ruling, Zhao Wang, Changyue Ma

Publikováno v: DCC

As the latest video coding standard, Versatile Video Coding (VVC) achieves up to 40% Bjontegaard delta bit-rate (BD-rate) reduction compared with High Efficiency Video Coding (HEVC). Recently, Convolutional Neural Network (CNN) has attracted tremendo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d89b2a6d91c0e5543f1d9d7d956997c0
https://doi.org/10.1109/dcc50243.2021.00010

Advanced Geometric-Based Inter Prediction for Versatile Video Coding

Autor: Chen Jie, Esenlik Semih, Gao Han, Elena Alshina, Chien Wei-Jung, Reuze Kevin Pascal Andre, Vadim Seregin, Huang Han, Chen Chun-Chi, Marta Karczewicz, Yan Ye, Luo Jiancong, Liao Ruling

Publikováno v: DCC

Block-based partitioning is one of the fundamental techniques in video coding. Geometric-based block partitioning is a well-studied method to enable better spatial adaptation to the signal properties. This paper introduces the most recent proposal of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee0e730fc3495139190a5d4094728275
https://doi.org/10.1109/dcc47342.2020.00017