The AI-based Super Resolution technology has shown broad application prospects in the fields of image restoration and image enhancement, and has attracted the attention and attention of the academic and industrial circles. However, in the RTC field, many algorithms cannot meet application requirements in actual scenarios, and the application of super-resolution in video processing tasks has problems that need to be solved urgently.
At 7:30 tonight , we invited Yuan Zhen, an audio and video algorithm engineer at NetEase Cloud, to share the opportunities and challenges faced by the large-scale application of super-resolution technology in the RTC field.
Scan the QR code in the picture or click to read the original text , make an appointment to watch the live broadcast
[Guest Profile]
Yuan Zhen, Audio and Video Algorithm Engineer at NetEase Cloud
He has been engaged in the research of image enhancement and edge detection algorithms based on deep learning, and is currently engaged in video post-processing, mainly responsible for the development and research of video enhancement algorithms.