Intermediate Frame

Intermediate frame generation, a core task in video processing and medical imaging, aims to synthesize frames between existing ones, improving video quality and enabling higher temporal resolution in 4D medical datasets. Current research focuses on developing efficient deep learning models, often employing encoder-decoder architectures, transformers, or implicit neural representations, to achieve accurate and fast interpolation, even under challenging conditions like large motions or limited training data. These advancements are significant for enhancing video compression, improving medical image analysis, and enabling real-time applications in various fields.