ZhangCheng2012's repositories
phase-recovery
Resources for phase recovery (also called phase imaging, phase retrieval, or phase reconstruction)
3D-Machine-Learning
A resource repository for 3D machine learning
Awesome-CT-Reconstruction
Awesome CT Reconstruction
Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
awesome-hand-pose-estimation
Awesome work on hand pose estimation/tracking
awesome-holography
A curated list of resources on holographic displays, inspired by awesome-computer-vision.
awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
awesome-self-supervised-learning
A curated list of awesome self-supervised methods
awesome_piv
List of repositories related to PIV (particle image velocimetry) to learn from
computational-imaging
Resources for computational imaging
Contrastive_Learning_Papers
A list of contrastive Learning papers
Deep-Image-Compression-Video-Coding
Recent papers and codes related to deep learning/deep neural network based image compression and video coding framework.
DeepClustering
Methods and Implements of Deep Clustering
deepxde
A library for scientific machine learning and physics-informed learning
DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
generative_monai
Official implementation for "Generative AI for Medical Imaging: extending the MONAI Framework"
Image-Fusion
Deep Learning-based Image Fusion: A Survey
Multi-Modal-Transformer
The repository collects many various multi-modal transformer architectures, including image transformer, video transformer, image-language transformer, video-language transformer and self-supervised learning models. Additionally, it also collects many useful tutorials and tools in these related domains.
OpenMicroscopy
Non-comprehensive list of projects and resources related to open microscopy.
PyTV-4D
Python routines to compute the Total Variation (TV) of 2D, 3D and 4D images on CPU & GPU. Compatible with proximal algorithms (ADMM, Chambolle & Pock, ...)
Recent-Advances-in-Multi-Agent-Reinforcement-Learning
A collection of recent MARL papers
SCI-algorithms
reconstruction algorithms for snapshot compressive imaging
Self-Supervised-Learning-Overview
📜 Self-Supervised Learning from Images: Up-to-date reading list.