Chang Chen's repositories
DA-MitoSeg
Uncertainty-Aware Label Rectification for Domain Adaptive Mitochondria Segmentation in MICCAI 2021
ustcthesis
LaTeX template for USTC thesis
emprocessing_workflow
Apache workflow for processing em data
Zooming-Slow-Mo-CVPR-2020
Fast and Accurate One-Stage Space-Time Video Super-Resolution (accepted in CVPR 2020)
HowToTrainYourMAMLPytorch
The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.
Awesome-Neuron-Segmentation-in-EM-Images
A curated list of resources for 3D segmentation of neurites in EM images
awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
Audio-Super-Resolution
Enhancment of Audio Quality (Bit-Depth and Sampling-Rate) using Deep Learning.
cvpr_paper_lists
cvpr2019 papers
Image_Harmonization_Datasets
image harmonization
opencv
Open Source Computer Vision Library
GANFingerprints
The official Tensorflow implementation for ICCV'19 paper 'Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints'
stylegan2
StyleGAN2 - Official TensorFlow Implementation
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
DCCM
Deep Comprehensive Correlation Mining
pyTorchChamferDistance
Implementation of the Chamfer Distance as a module for pyTorch
DAC_Pytorch
Pytorch version for DAC (ICCV2017)
learnopencv
Learn OpenCV : C++ and Python Examples
noiseprint
Noiseprint, a CNN-based camera model fingerprint
faceswap
Deepfakes Software For All
LFSR-FusNet
Light Field Super-Resolution by Jointly Exploiting Internal and External Similarities in TCSVT 2019
pytorch-ncc
Normalized Cross-Correlation in pytorch
electron-ssr-backup
electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜
LFSRBenchmark
Light Field Super-Resolution: A Benchmark in CVPRW 2019
biologicalgraphs
Biologically-Constrained Graphs for Global Connectomics Reconstruction
n3net
Neural Nearest Neighbors Networks (NIPS*2018)
DoubleDIP
Official implementation of the paper "Double-DIP: Unsupervised Image Decomposition via Coupled Deep-Image-Priors"