Pinned Repositories
coolbeam.github.io
EventHDR
This is the implementation and dataset for Learning To Reconstruct High Speed and High Dynamic Range Videos From Events, CVPR 2021, by Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani and Ying Fu
OIFlow
occlusion inpainting for unsupervised optical flow estimation
optical-flow-2d-data-generation
Caffe(v1)-compatible codebase to generate optical flow training data on-the-fly; used for the IJCV 2018 paper "What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?" (http://dx.doi.org/10.1007/s11263-018-1082-6)
Paper_Reading_Note
markdown paper reading note gui by pyqt5
UPFlow_pytorch
PyTorch implementation of UPFlow (unsupervised optical flow learning)
RealFlow
The official implementation of the ECCV 2022 Oral paper: RealFlow: EM-based Realistic Optical Flow Dataset Generation from Videos
coolbeam's Repositories
coolbeam/UPFlow_pytorch
PyTorch implementation of UPFlow (unsupervised optical flow learning)
coolbeam/OIFlow
occlusion inpainting for unsupervised optical flow estimation
coolbeam/Paper_Reading_Note
markdown paper reading note gui by pyqt5
coolbeam/coolbeam.github.io
coolbeam/EventHDR
This is the implementation and dataset for Learning To Reconstruct High Speed and High Dynamic Range Videos From Events, CVPR 2021, by Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani and Ying Fu
coolbeam/optical-flow-2d-data-generation
Caffe(v1)-compatible codebase to generate optical flow training data on-the-fly; used for the IJCV 2018 paper "What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?" (http://dx.doi.org/10.1007/s11263-018-1082-6)