Flow Model

Flow models are probabilistic models used for diverse tasks, from generating realistic images and accelerating diffusion models to predicting 3D occupancy and flow in autonomous driving. Current research focuses on improving model architectures, such as incorporating multi-scale designs for efficiency and developing methods like piecewise rectified flows for faster sampling. These advancements are impacting various fields, including medical image harmonization, video inpainting, and even historical battle simulations, by offering improved accuracy, efficiency, and robustness in complex data processing tasks.