fkluger

consac

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus

cuboids_revisited

Robust Shape Fitting for 3D Scene Abstraction

vanishing_points_2017

Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection

parsac

PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus

vp-linkage

Implementation of J-Linkage and T-Linkage for vanishing point estimation.

nyu_vp

NYU-VP: Vanishing Point Labels for NYUv2

tnt-battlesnake

yud_plus

YUD+: Additional Vanishing Point Labels for YUD

tchl

Temporally Consistent Horizon Lines

kitti_horizon

KITTI dataset horizon line extension proposed in the paper "Temporally Consistent Horizon Lines"

bicycle_detection

cuboids_revisited_cvpr21

backintime

Back In Time - A simple backup tool for Linux

hope-f

HOPE-F Dataset for Multiple Fundamental Matrix Fitting

smh

Synthetic Metropolis Homography Dataset for Multiple Homography Fitting

bts

From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

cvpr20_LESA

fkluger.github.io

lsd-python

Python wrapper for LSD line segment detector

monodepth2

Monocular depth estimation from a single image

progressive-x

The Progressive-X algorithm proposed in paper: Daniel Barath and Jiri Matas; Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm, International Conference on Computer Vision, 2019. It is available at https://arxiv.org/pdf/1906.02290

road_damage_2018

simple_vp_calibration

superquadric_parsing

Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019

torchgeometry

TGM: PyTorch Geometry

volumetricPrimitives

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)