Pinned Repositories
3D-Reconstruction-by-GF-4
Part of implementation of paper named Determining Both Surface Position and Orientation in Structured-Light-Based Sensing. Its abstract is Position and orientation profiles are two principal descriptions of shape in space. We describe how a structured light system, coupled with the illumination of a pseudorandom pattern and a suitable choice of feature points, can allow not only the position but also the orientation of individual surface elements to be determined independently. Unlike traditional designs which use the centroids of the illuminated pattern elements as the feature points, the proposed design uses the grid points between the pattern elements instead. The grid points have the essences that their positions in the image data are inert to the effect of perspective distortion, their individual extractions are not directly dependent on one another, and the grid points possess strong symmetry that can be exploited for their precise localization in the image data. Most importantly, the grid lines of the illuminated pattern that form the grid points can aid in determining surface normals. In this paper, we describe how each of the grid points can be labeled with a unique color code, what symmetry they possess and how the symmetry can be exploited for their precise localization at subpixel accuracy in the image data, and how 3D orientation in addition to 3D position can be determined at each of them. Both the position and orientation profiles can be determined with only a single pattern illumination and a single image capture. And the doi of the paper is 10.1109/TPAMI.2009.192.
3DCS
Three-dimensional compressive sensing algorithms
3dshearlet
3D discrete shearlet
3dv_tutorial
An Invitation to 3D Vision: A Tutorial for Everyone
Adaptive-Grayscale-CSI-Blue-Noise-Patterns
Simulation codes for "Adaptive Grayscale Compressive Spectral Imaging Using Optimal Blue Noise Coding Patterns"
aditof_sdk
Analog Devices 3D ToF software suite
ADMM-DIPTV
Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)
An-Efficient-Algorithm-Designing-Robust-Projection-Matrix
An Efficient Algorithm Designing Robust Projection Matrix
In2SET
simca
Simulator for Coded Aperture Spectral Snapshot Imaging
HengJiang95's Repositories
HengJiang95/In2SET
HengJiang95/simca
Simulator for Coded Aperture Spectral Snapshot Imaging
HengJiang95/astra-toolbox
ASTRA Tomography Toolbox
HengJiang95/Auto-6ML
Auto^6ML is a jittor library allowing users to achieve machine learning automation.
HengJiang95/Awesome-state-space-models
Collection of papers on state-space models
HengJiang95/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
HengJiang95/bregman-corrected-TV-denoising
TV denoising using Bregman bias correction techniques for different noise models
HengJiang95/CASSI-Self-Supervised
HengJiang95/deepinv
PyTorch library for solving imaging inverse problems using deep learning
HengJiang95/Delta-Prox
Official code repository for ∇-Prox: Differentiable Proximal Algorithm Modeling for Large-Scale Optimization (SIGGRAPH TOG 2023)
HengJiang95/DERNN-LNLT
Code of the paper "Degradation Estimation Recurrent Neural Network with Local and Non-Local Priors for Compressive Spectral Imaging"
HengJiang95/DHM
HengJiang95/DRP
HengJiang95/Havard-Medical-Image-Fusion-Datasets
Havard Medical Image Fusion Datasets CT-MRI PET-MRI SPECT-MRI
HengJiang95/HEU_KMS_Activator
HengJiang95/Information_Fusion_CasFormer
Li, Chenyu, Bing Zhang, Danfeng Hong, Jun Zhou, Gemine Vivone, Shutao Li, and Jocelyn Chanussot. "CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging." Information Fusion, 2024, 102408.
HengJiang95/MAUN
Memory-Augmented Deep Unfolding Network for Hyperspectral Image Reconstruction (IEEE/CAA Journal of Automatica Sinica 24)
HengJiang95/MAUNSS
HengJiang95/MLP-AMDC
HengJiang95/MS-SSIM_L1_LOSS
Pytorch implementation of MS-SSIM L1 Loss function
HengJiang95/NLRT
HengJiang95/PADUT
HengJiang95/pyapetnet
a CNN for anatomy-guided deconvolution and denoising of PET images
HengJiang95/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
HengJiang95/RCUMP
[TIP'24] RCUMP: Residual Completion Unrolling with Mixed Priors for Snapshot Compressive Imaging
HengJiang95/Score-Based-Generative-Models-for-PET-Image-Reconstruction
Official code for Score-Based Generative Models for PET Image Reconstruction (MELBA)
HengJiang95/SPECAT
Official Implementation of the CVPR'24 paper: SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
HengJiang95/torch-radon-v2
Computational Tomography in PyTorch
HengJiang95/Trans-TNN-Toolbox
a Matlab Toolbox for Transformed TNN
HengJiang95/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.