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3dv_tutorial

An Invitation to 3D Vision: A Tutorial for Everyone

aanet

AANet: Adaptive Aggregation Network for Efficient Stereo Matching, CVPR 2020

ad-census

AD-Census立体匹配算法，**学者Xing Mei等人研究成果（Respect！），算法效率高、效果出色，适合硬件加速，Intel RealSense D400 Stereo模块算法。完整实现，代码规范，注释清晰，欢迎star！

agsd-surgical-instrument-segmentation

Code for 'Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion' (MICCAI 2020)

anms-codes

Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution

arflow

The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".

atrous-monodepth

Monocular Depth Estimation using Atrous Convolutions

awesome-few-shot-learning

A review for latest few-shot learning works

awesome-object-proposals

A curated list of object proposals resources for object detection

back2future.pytorch

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

bifuse

[CVPR2020] BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion

bridgedepthflow

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

c3vd

codes_led_calibration

Matlab codes for calibrating lighting (directional or (an)isotropic near point light source) using checkerboard

codeslam

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

consistent_depth

We estimate dense, flicker-free, geometrically consistent depth from monocular video, for example hand-held cell phone video.

corrflow

Self-supervised Learning for Video Correspondence Flow (BMVC 2019)

cosaliency_tip2013

The codes for "Cluster-based Co-saliency Detection" in TIP 2013.

cvpr2021-papers-with-code

CVPR 2021 论文和开源项目合集

dcflow

Code for the paper "Accurate Optical Flow via Direct Cost Volume Processing. Jia Xu, René Ranftl, and Vladlen Koltun. CVPR 2017"

ddflow

DDFlow: Learning Optical Flow with Unlabeled Data Distillation

deep-flow-guided-video-inpainting

pytorch implementation for "Deep Flow-Guided Video Inpainting"(CVPR'19)

deep-unsupervised-saliency-detection

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deepmatchvo

Implementation of ICRA 2019 paper: Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation

defslam

DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel

densedescriptorlearning-pytorch

Pytorch implementation of paper named "Extremely Dense Point Correspondences using a Learned Feature Descriptor" (CVPR 2020)

denseflow

Extracting optical flow and frames

densereconstruction-pytorch

Pytorch implementation of paper "Reconstructing Sinus Anatomy from Endoscopic Video -- Towards a Radiation-free Approach for Quantitative Longitudinal Assessment" (MICCAI 2020)

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr