Optical Flow

Papers

FlowNet: Learning Optical Flow with Convolutional Networks

• intro: “competitive accuracy at frame rates of 5 to 10 fps”
• project page: http://lmb.informatik.uni-freiburg.de/Publications/2015/DFIB15/
• arxiv: https://arxiv.org/abs/1504.06852
• github: https://github.com/ClementPinard/FlowNetTorch
• github: https://github.com/ClementPinard/FlowNetPytorch

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

• intro: CVPR 2017
• project page: http://lmb.informatik.uni-freiburg.de/Publications/2016/IMKDB16/
• arxiv: https://arxiv.org/abs/1612.01925
• github(Caffe): https://github.com/lmb-freiburg/flownet2
• github: https://github.com//NVIDIA/flownet2-pytorch
• video: http://lmb.informatik.uni-freiburg.de/Publications/2016/IMKDB16/

Optical Flow Estimation using a Spatial Pyramid Network

• arxiv: https://arxiv.org/abs/1611.00850

Guided Optical Flow Learning

• arxiv: https://arxiv.org/abs/1702.02295

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

• intro: CVPR 2018
• project page: https://research.nvidia.com/publication/2018-02_PWC-Net:-CNNs-for
• arxiv: https://arxiv.org/abs/1709.02371
• github: https://github.com/NVlabs/PWC-Net

Occlusion Aware Unsupervised Learning of Optical Flow

https://arxiv.org/abs/1711.05890

Joint Coarse-And-Fine Reasoning for Deep Optical Flow

• intro: ICIP 2017
• arxiv: https://arxiv.org/abs/1808.07416

UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss

• intro: AAAI 2018
• arxiv: https://arxiv.org/abs/1711.07837

Learning Optical Flow via Dilated Networks and Occlusion Reasoning

• intro: ICIP 2018
• arxiv: https://arxiv.org/abs/1805.02733

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

• intro: CVPR 2018 (spotlight)
• project page: http://mmlab.ie.cuhk.edu.hk/projects/LiteFlowNet/
• arxiv: https://arxiv.org/abs/1805.07036
• github: https://github.com/twhui/LiteFlowNet

ProFlow: Learning to Predict Optical Flow

https://arxiv.org/abs/1806.00800

Learning Human Optical Flow

https://arxiv.org/abs/1806.05666

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

• intro: AAAI 2019
• arxiv: https://arxiv.org/abs/1902.09145

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

• intro: CVPR 2019
• arxiv: https://arxiv.org/abs/1904.05290

Attacking Optical Flow

• intro: ICCV 2019
• arxiv: https://arxiv.org/abs/1910.10053

Learning optical flow from still images

• intro: CVPR 2021
• intro: University of Bologna
• project page: https://mattpoggi.github.io/projects/cvpr2021aleotti/
• arxiv: https://arxiv.org/abs/2104.03965
• github: https://github.com/mattpoggi/depthstillation

Sensor-Guided Optical Flow

• intro: ICCV 2021
• intro: University of Bologna, Italy
• arxiv: https://arxiv.org/abs/2109.15321

FlowFormer: A Transformer Architecture for Optical Flow

• project page: https://drinkingcoder.github.io/publication/flowformer/
• arxiv: https://arxiv.org/abs/2203.16194

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

• intro: CVPR 2022
• arxiv: https://arxiv.org/abs/2203.16896
• github: https://github.com/askerlee/craft