Executive Summary The model thoroughly examines motion and compares the performance of contemporary and traditional optical flow estimation methods. This is achieved using multiple GPUs and CPUs, ...
Introduction: A subset of the true optical flow can be extracted by constructing a vector field that represents image gradients and then tracking vectors in this vector field. This pseudo-flow (p-flow ...
Abstract: High-dynamic scene optical flow is a challenging task, which suffers spatial blur and temporal discontinuous motion due to large displacement in frame imaging, thus deteriorating the ...
We present FlowSeek, a novel framework for optical flow requiring minimal hardware resources for training. FlowSeek marries the latest advances on the design space of optical flow networks with ...
Researchers at Cornell University in the US collaborated with the Harvard Microbiotics Laboratory, which has developed an 80-milligramme flying robot named RoboBee outfitted with a number of vision, ...
Abstract: We present FloVD, a novel video diffusion model for camera-controllable video generation. FloVD leverages optical flow to represent the motions of the camera and moving objects. This ...
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