110 Open source projects that are alternatives of or similar to EPC

PWC-Network with TensorFlow

Multi-stream CNN architectures for action detection with actor-centric filtering

Visual odometry using optical flow and neural networks

Fork and OpenCV wrapper of the optical flow I/O and visualization code provided as part of the Sintel dataset [1].

A method about optimizing the facial landmark detection based on Kalman Filter, Optical Flow and Dlib

Shallow Optical Flow Three-Stream CNN For Macro and Micro-Expression Spotting From Long Videos

CUDA implementation of the paper "Fast Edge-Preserving PatchMatch for Large Displacement Optical Flow" in CVPR 2014.

Compute dense optical flow using TV-L1 algorithm with NVIDIA GPU acceleration.

Vision-based Robot 3D Pose and Velocities Estimations

Face Detection and tracking using CamShift, Kalman Filter, Optical Flow

Unsupervised Learning for Optical Flow Estimation Using Pyramid Convolution LSTM.

ROS package for Correlation Flow (ICRA 2018)

TensorFlow implementation for "Guided Optical Flow Learning"

Attacking Optical Flow (ICCV 2019)

PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Pure Pytorch implementation of Correlation Layer that commonly used in learning based optical flow estimator

Extract video features from raw videos using multiple GPUs. We support RAFT and PWC flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, ResNet features.

[ICCV 2019] Monocular depth estimation from a single image

Self-Supervised depth kalilia

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

Official implementation of the network presented in the paper "M4Depth: A motion-based approach for monocular depth estimation on video sequences"

Visual place recognition from opposing viewpoints under extreme appearance variations

[ECCV 2020] Single image depth prediction allows us to rectify planar surfaces in images and extract view-invariant local features for better feature matching

Depth estimation from RGB images using fully convolutional neural networks.

Python scripts form performing stereo depth estimation using the HITNET model in ONNX.

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

Deep learning model to estimate the depth of image.

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

MMDモーショントレース自動化一括処理バッチ

Matlab Implementation of a 3D Reconstruction algorithm

Pytorch framework for supervised depth prediction

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Pytorch Lightning Implementation of SC-Depth (V1, V2...) for Unsupervised Monocular Depth Estimation.

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

FisheyeDistanceNet

Geometry meets semantics for semi-supervised monocular depth estimation - ACCV 2018

Refocus an image just by clicking on it with no additional data

The code and data of DiverseDepth

Multi-view stereo image-based 3D reconstruction

DSGN: Deep Stereo Geometry Network for 3D Object Detection (CVPR 2020)

official implementation of "Visualization of Convolutional Neural Networks for Monocular Depth Estimation"

[CVPR 2020] Normal Assisted Stereo Depth Estimation

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

Dual CNN Models for Unsupervised Monocular Depth Estimation

DIODE Development Toolkit

Self-Supervised Depth Estimation on Monocular Sequences

[ICCV 2021] Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation

This repo contains C++ code for sparse scene flow method.

Code for "Learning to Segment Rigid Motions from Two Frames". CVPR 2021.