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Greatest papers with code

Structure-From-Motion Revisited

CVPR 2016 colmap/colmap

Incremental Structure-from-Motion is a prevalent strategy for 3D reconstruction from unordered image collections.

3D RECONSTRUCTION STRUCTURE FROM MOTION

Fine-tuning CNN Image Retrieval with No Human Annotation

3 Nov 2017filipradenovic/cnnimageretrieval-pytorch

We show that both hard-positive and hard-negative examples, selected by exploiting the geometry and the camera positions available from the 3D models, enhance the performance of particular-object retrieval.

IMAGE RETRIEVAL STRUCTURE FROM MOTION

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

8 Apr 2016filipradenovic/cnnimageretrieval-pytorch

Convolutional Neural Networks (CNNs) achieve state-of-the-art performance in many computer vision tasks.

IMAGE RETRIEVAL STRUCTURE FROM MOTION

Consistent Video Depth Estimation

30 Apr 2020facebookresearch/consistent_depth

We present an algorithm for reconstructing dense, geometrically consistent depth for all pixels in a monocular video.

DEPTH ESTIMATION STRUCTURE FROM MOTION

MegaDepth: Learning Single-View Depth Prediction from Internet Photos

CVPR 2018 zhengqili/MegaDepth

We validate the use of large amounts of Internet data by showing that models trained on MegaDepth exhibit strong generalization-not only to novel scenes, but also to other diverse datasets including Make3D, KITTI, and DIW, even when no images from those datasets are seen during training.

DEPTH ESTIMATION SEMANTIC SEGMENTATION STRUCTURE FROM MOTION

A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking

2 Dec 2020SBCV/Blender-Addon-Photogrammetry-Importer

We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera and motion tracking.

STRUCTURE FROM MOTION

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion

ICCV 2019 facebookresearch/c3dpo_nrsfm

We propose C3DPO, a method for extracting 3D models of deformable objects from 2D keypoint annotations in unconstrained images.

STRUCTURE FROM MOTION

Graph-Based Parallel Large Scale Structure from Motion

23 Dec 2019AIBluefisher/GraphSfM

After local reconstructions, we construct a minimum spanning tree (MinST) to find accurate similarity transformations.

3D RECONSTRUCTION STRUCTURE FROM MOTION