⚡ 本页包含 AI 生成的分析内容，仅供参考
提出了一款名为STEP的神经网络处理器，用于实现8K分辨率、60帧每秒的实时时空视频超分辨率。解决了8K-UHD内容稀缺和传输带宽成本高的问题，在终端显示上通过单阶段算法同时提升分辨率和帧率。
driving ultra-high-definition (UHD) TVs and screens, offering users an immersive experience. However, the scarcity of 8K-UHD streams and the high cost of transmission bandwidth necessitate the use of ISP techniques on terminal displays to enhance video quality. Deep-learning algorithms, in particular, can be employed to render stable and vivid videos. The one-stage space-time video super-resolution (STVSR) algorithm [1], depicted in Fig. 2.9.1, is able to simultaneously generate high-resolution and high-frame-rate videos from low-resolution and low-frame-rate input. But rendering 8KUHD 60fps videos on edge devices with limited computational resources still poses three main challenges. First, although deeper models typically yield better video quality, resource
Kai-Ping Lin1, Tong Wu1, Chang-Pao Lin1, Po-Wei Chen1, Zhi-Jun Zhang1,
Win-San Khwa2, Meng-Fan Chang2, Chao-Tsung Huang1 National Tsing Hua University, Hsinchu, Taiwan TSMC Corporate Research, Hsinchu, Taiwan 1 2 Next-generation display technology is