Blog(1)
Optical flow targets at estimating per-pixel correspondences between a source image and a target image, in the form of a 2D displacement field.
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Publications(5)
FlowFormer: A Transformer Architecture for Optical Flow
AuthorChao Zhang, Qiang Wang
PublishedEuropean Conference on Computer Vision (ECCV)
Date2022-12-01
Enhanced Bi-directional Motion Estimation for Video Frame Interpolation
AuthorXin Jin (xin.jin) Longhai Wu (longhai.wu) Guotao Shen (guotao.shen) Youxin Chen (yx113.chen) Jie Chen (ada.chen) Jay Koo (j.goo) CHEUL-HEE HAHM (chhahm)
PublishedIEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
Date2022-08-17
Self-supervised Visual Odometry with Ego-Motion Sampling
AuthorIgor Slinko, Anna Vorontsova, Dmitry Zhukov, Olga Barinova, Anton Konushin
PublishedInternational Conference on Video, Signal and Image Processing (VSIP)
Date2020-12-04
News(2)
Video frame interpolation aims to increase the frame rate of videos, by synthesizing non-existent intermediate frames between original successive frames. With recent advances in optical flow, motion-based interpolation has developed into a promising framework.
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