Fast synthesized and predicted just noticeable distortion maps for perceptual multiview video coding by Lin, Weisi, Gao, Yu., Xiu, Xiaoyu., Liang, Jie.

“…In this paper, two fast methods are proposed to generate the JND maps of multiview videos. In the first method, the JND maps of some anchor views are used to synthesize the JND maps of other views via the depth image based rendering (DIBR), which can be much faster than direct JND computation. …”
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No-reference view synthesis quality prediction for 3-D videos based on color-depth interactions by Shao, Feng, Yuan, Qizheng, Lin, Weisi, Jiang, Gangyi

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Quality assessment of DIBR-synthesized images by measuring local geometric distortions and global sharpness by Li, Leida, Zhou, Yu, Gu, Ke, Lin, Weisi, Wang, Shiqi

“…Depth-image-based rendering (DIBR) is a fundamental technique in free viewpoint video, which is widely adopted to synthesize virtual viewpoints. …”
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Model-based referenceless quality metric of 3D synthesized images using local image description by Gu, Ke, Jakhetiya, Vinit, Qiao, Jun-Fei, Li, Xiaoli, Lin, Weisi, Thalmann, Daniel

“…New challenges have been brought out along with the emerging of 3D-related technologies, such as virtual reality, augmented reality (AR), and mixed reality. Free viewpoint video (FVV), due to its applications in remote surveillance, remote education, and so on, based on the flexible selection of direction and viewpoint, has been perceived as the development direction of next-generation video technologies and has drawn a wide range of researchers' attention. …”
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The social effects of exergames on older adults : systematic review and metric analysis by Li, Jinhui, Erdt, Mojisola, Chen, Luxi, Theng, Yin-Leng, Cao, Yuanyuan, Lee, Shan-Qi

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Everybody's talkin': let me talk as you want by Song, Linsen, Wu, Wayne, Qian, Chen, He, Ran, Loy, Chen Change

“…We present a method to edit a target portrait footage by taking a sequence of audio as input to synthesize a photo-realistic video. This method is unique because it is highly dynamic. …”
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CNN-based real-time dense face reconstruction with inverse-rendered photo-realistic face images by Guo, Yudong, Zhang, Juyong, Cai, Jianfei, Jiang, Boyi, Zheng, Jianmin

“…We also construct a large number of video-type adjacent frame pairs by simulating the distribution of real video data.11.All these coarse-scale and fine-scale photo-realistic face image datasets can be downloaded from https://github.com/Juyong/3DFace. …”
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