The official implementation of "Secrets of Event-based Optical Flow" (ECCV2022 Oral and IEEE T-PAMI 2024)

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark

Self-Supervised Learning of Event-based Optical Flow with Spiking Neural Networks

Official implementation of IEEE TPAMI 2022 paper "Formulating Event-based Image Reconstruction as a Linear Inverse Problem with Deep Regularization using Optical Flow"

Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation (AAAI 2022)

Lightweight Event-based Optical Flow Estimation via Iterative Deblurring

[ICCV-2023] The official repository of our paper "TMA: Temporal Motion Aggregation for Event-based Optical Flow".

Taming Contrast Maximization for Learning Sequential Event-based Optical Flow Estimation

Code for "BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events", ECCV 2024 and "BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation", IROS 2023

Code for paper Spatiotemporal swin spikeformer for event-based optical flow estimation

Codes for [ICCV2023] Event-based Temporally Dense Optical Flow Estimation with Sequential Learning

[CVPRW-2025] The official repository for the CVPR 2025, 5th International Workshop on Event-based Vision paper "Spatio-Temporal State Space Model for Efficient event-Based Optical Flow"

EMatch: A Unified Framework for Event-based Optical Flow and Stereo Matching

Plane fitting event-based optical flow as described in ISCAS2018 paper

Code for "BlinkVision: A Benchmark for Optical Flow, Scene Flow and Point Tracking Estimation using RGB Frames and Events", ECCV 2024 and "BlinkFlow: A Dataset to Push the Limits of Event-based Optical Flow Estimation", IROS 2023

No description available

A compilation of event-based optical flow synthetic dataset with CARLA simulator.

in this repository different event-based optical flow algorithms are developped

This repository contains scripts to compare the accuracy and computational cost of event-based optical flow against standard frame-based optical flow.

Planar Velocity Estimation for Fast-Moving Mobile Robots Using Event-Based Optical Flow

Project website for UEOF (benchmark dataset for underwater event-based optical flow).

optical flow and ego motion based on event camera dataset

Optical flow algorithm event based using Fully Connected Neural Network

A training framework to train optical flow estimator for event-based data

Event-based Lunar OPtical flow Egomotion estimation: code and various artefacts for the ELOPE competition run by ESA's ACT.

A repository for version management of the code implementation of the deblurring method based on the estimated pixel-wise point spread function along the predicted optical flow for input blurred images and its corresponding simulated events.

No description available

Toy project to explore event based computer vision methods

No description available