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📄 Abstract
Abstract: 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 cutting-edge single-image depth
foundation models and classical low-dimensional motion parametrization,
implementing a compact, yet accurate architecture. FlowSeek is trained on a
single consumer-grade GPU, a hardware budget about 8x lower compared to most
recent methods, and still achieves superior cross-dataset generalization on
Sintel Final and KITTI, with a relative improvement of 10 and 15% over the
previous state-of-the-art SEA-RAFT, as well as on Spring and LayeredFlow
datasets.