DeepField-SR is a fixed functional hardware accelerator that leverages Xilinx Alveo cards and FPGA instances in the cloud or on-premise to offer the highest computational efficiency for video super-resolution. Based on the proprietary neural network trained with real-word video data from the internet and fusing spatio-temporal information in multiple frames, it produces superior high-resolution video quality.
DeepField-SR is deployable on both public cloud and on-premise with Xilinx Alveo U200/U50 Accelerator Cards. As it is designed in scalable architecture and supports multiple FPGA cards, it can flexibly respond to various resolution upscale requests. Its runtime performance on a single Alveo U50 is 11 ~ 14fps to upscale video up to 4K resolution. The API is integrated within an ffmpeg workflow, meaning that simple command enables DeepField-SR acceleration and upscaling user input video.
Upscaling 720p30 to 4Kp30 in Real-Time
3x Channel of Upscaling 360p30 to 1080p30/1440p30 in Real-Time