FlyingChairs
Introduced by Fischer et al. in FlowNet: Learning Optical Flow with Convolutional Networks
The "Flying Chairs" are a synthetic dataset with optical flow ground truth. It consists of 22872 image pairs and corresponding flow fields. Images show renderings of 3D chair models moving in front of random backgrounds from Flickr. Motions of both the chairs and the background are purely planar.
Papers
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