51 Open source projects that are alternatives of or similar to seq2single

(RSS 2018) LoST - Visual Place Recognition using Visual Semantics for Opposite Viewpoints across Day and Night

[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

No description or website provided.

[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

LiDAR SLAM = FAST-LIO + Scan Context

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

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis, ICCV 2019, Seoul, Korea

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

Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"

[CVPR 2020] Normal Assisted Stereo Depth Estimation

Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces (ICCV 2021)

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

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence, CVPR 2019

Dual CNN Models for Unsupervised Monocular Depth Estimation

Light-weight place recognition and loop detection using road markings

Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation (CVPR 2021)

DIODE Development Toolkit

Self-Supervised Depth Estimation on Monocular Sequences

Single Lead ECG signal Acquisition and Arrhythmia Classification using Deep Learning

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

Deep learning for freehand sketch object recognition

Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding

Tensorflow implementation(unofficial) of "Digging into Self-Supervised Monocular Depth Prediction"

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

A Fast and Robust Place Recognition Approach for Stereo Visual Odometry using LiDAR Descriptors

Visual Place Recognition implemented in PyTorch

[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"

Provide mapping and localization pipelines based on kapture format