Slow Motion

Slow-motion video generation is a rapidly advancing field focusing on creating high-quality slow-motion footage from standard video sources, often leveraging deep learning techniques. Current research emphasizes improving the efficiency and accuracy of video frame interpolation (VFI) algorithms, including exploring novel architectures like transformers and employing event-based cameras to capture richer motion information, particularly in challenging conditions like low light and high-speed movement. These advancements have significant implications for various applications, including sports analysis, entertainment, and robotics, by enabling more realistic and detailed slow-motion replays and facilitating more accurate motion analysis and imitation.