Explicit Motion Disentangling for Efficient Optical Flow Estimation
Author:
Affiliation:
1. University of Macau
2. Megvii Technology
3. Kuaishou Technology
4. University of Electronic Science and Technology of China
Funder
Technology Development
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10376473/10376477/10376633.pdf?arnumber=10376633
Reference38 articles.
1. Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation
2. A framework for the robust estimation of optical flow
3. The Robust Estimation of Multiple Motions: Parametric and Piecewise-Smooth Flow Fields
4. High Accuracy Optical Flow Estimation Based on a Theory for Warping
5. Large Displacement Optical Flow: Descriptor Matching in Variational Motion Estimation
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1. Rethinking RAFT for Efficient Optical Flow;2024 13th Iranian/3rd International Machine Vision and Image Processing Conference (MVIP);2024-03-06
2. APCAFlow: All-Pairs Cost Volume Aggregation for Optical Flow Estimation;IEEE Transactions on Multimedia;2024
3. GAFlow: Incorporating Gaussian Attention into Optical Flow;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01
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