High Frame Rate

High frame rate (HFR) video processing aims to improve video quality and efficiency at higher frame rates, addressing challenges in real-time applications and high-speed scenarios. Current research focuses on developing efficient algorithms and model architectures, such as transformer networks and diffusion models, for tasks like video interpolation, super-resolution, and object tracking, often incorporating multi-modal data fusion (e.g., image and event data) to enhance robustness and accuracy. These advancements are significant for various applications, including virtual and augmented reality, video editing, and autonomous driving, by enabling smoother, higher-fidelity video experiences with reduced computational cost.