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Datasets, Transforms and Models specific to Computer Vision
Depth-Aware Video Frame Interpolation (CVPR 2019)
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation
A deep learning library for video understanding research.
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
PyTorch implementation of Super SloMo by Jiang et al.
Deep Feature Flow for Video Recognition
Pytorch implementation of FlowNet by Dosovitskiy et al.
Multi-layer convolutional LSTM with Pytorch
Video quality metrics, reference implementation in python: VIF, SSIM, PSNR, ...
Repository relating to the CVPR21 paper TimeLens: Event-based Video Frame Interpolation
Yolov5+SlowFast: Realtime Action Detection Based on PytorchVideo
a reimplementation of LiteFlowNet in PyTorch that matches the official Caffe version
Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (T-PAMI, 2019).
Open source implementation of CVPR 2020 "Video to Events: Recycling Video Dataset for Event Cameras"
Source code for AAAI 2020 paper "Channel Attention Is All You Need for Video Frame Interpolation"
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
Python-based optical flow toolkit for existing popular dataset
auto-labelimg based on yolov5, with many other useful tools
Code for the paper "Low Latency Automotive Vision with Event Cameras", published in Nature
Event-based Fusion for Motion Deblurring with Cross-modal Attention (ECCV'22 Oral) https://ahupujr.github.io/EFNet/
The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)
A curated collection of papers, code, datasets, and utilities for Video Anomaly Detection, updated every Friday.
Video Frame Interpolation Summary and Infer
[CVPR'24 Spotlight] The official implementation of "State Space Models for Event Cameras"
Video Frame Interpolation with Transformer (CVPR2022)