Stars
GIM: Learning Generalizable Image Matcher From Internet Videos (ICLR 2024 Spotlight)
[CVPR'24]🦿GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo
Evidential Deep Learning in PyTorch
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
A procedural Blender pipeline for photorealistic training image generation
Creation of Synthetic Data using Blender, for training A.I. models.
Official MegEngine implementation of CREStereo(CVPR 2022 Oral).
An All-MLP solution for Vision, from Google AI
[TPAMI 2024 & CVPR 2022] Attention Concatenation Volume for Accurate and Efficient Stereo Matching
[CVPR 2022] Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
A PyTorch Library for Multi-Task Learning
A Local Adaptive Thresholding framework for image binarization written in C++, with JS and Python bindings. Implementing: Otsu, Bernsen, Niblack, Sauvola, Wolf, Gatos, NICK, Su, T.R. Singh, WAN, IS…
Public domain software for processing and analyzing scientific images
Fast median filter for circle-valued data, for example signals or images describing phase or orientation
This repository contains the code for the paper "Connecting the Dots: Learning Representations for Active Monocular Depth Estimation" https://avg.is.tuebingen.mpg.de/publications/riegler2019cvpr
Project repository for deep learning coded FPM with uncertainty quantification
Fast Image Inpainting Based on Coherence Transport
Absolute phase unwrapping via deep learning for fringe projection profilometry
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
3D computer vision incuding SLAM，VSALM，Deep Learning，Structured light，Stereo，Three-dimensional reconstruction，Computer vision，Machine Learning and so on
This project is an implementation of "Region Filling and Object Removal by Exemplar-Based Image Inpainting" by A.Criminisi