Agchai52
I'm an engineer in image processing. Now I'm enthusiastic about deep learning and image restoration related research.
Notre Dame, IN
Pinned Repositories
ConditinalDeblurGAN-Pytorch
Pytorch implementation of Dark Channel DeblurGAN
cs61b
Dataset-for-Deep-Image-Deblurring-Aided-by-Inertial-Sensor-Data
Official code for the paper "A Dataset for Deep Image Deblurring Aided by Inertial Sensor Data"
DeblurGANv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Deconvolution-Microscopy-CycleGAN
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
DeepGyro
Gyroscope-Aided Motion Deblurring with Deep Networks
GAN_Based_Image_Deblurring_Using_Dark_Channel_Prior
This is the official code for the paper "GAN Based Image Deblurring Using Dark Channel Prior"
Image-Alignment-using-Inertial-Sensor-UKF
Official Code of Paper "Inertia Sensor Aided Alignment for Burst Pipeline in Low Light Conditions"
Leetcode1
Leetcode: first round in python
leetcode2
Second round of leetcode in Java
Agchai52's Repositories
Agchai52/GAN_Based_Image_Deblurring_Using_Dark_Channel_Prior
This is the official code for the paper "GAN Based Image Deblurring Using Dark Channel Prior"
Agchai52/Dataset-for-Deep-Image-Deblurring-Aided-by-Inertial-Sensor-Data
Official code for the paper "A Dataset for Deep Image Deblurring Aided by Inertial Sensor Data"
Agchai52/ConditinalDeblurGAN-Pytorch
Pytorch implementation of Dark Channel DeblurGAN
Agchai52/Deconvolution-Microscopy-CycleGAN
CycleGAN with a Blur Kernel for Deconvolution Microscopy: Optimal Transport Geometry
Agchai52/cs61b
Agchai52/DeblurGANv2
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Agchai52/DeepGyro
Gyroscope-Aided Motion Deblurring with Deep Networks
Agchai52/Image-Alignment-using-Inertial-Sensor-UKF
Official Code of Paper "Inertia Sensor Aided Alignment for Burst Pipeline in Low Light Conditions"
Agchai52/Leetcode1
Leetcode: first round in python
Agchai52/leetcode2
Second round of leetcode in Java
Agchai52/MicroscopyDeblur_IR-PHI
This is the official code for the paper "Deep Image Restoration for Infrared Photothermal Heterodyne Imaging"
Agchai52/NTIRE2019_deblur
A Deep Motion Deblurring Network based on Per-Pixel Adaptive Kernels with Residual Down-Up and Up-Down Modules, A source code of the 3rd winner of NTIRE 2019 Video Deblurring Challenge
Agchai52/pytorch-CycleGAN-and-pix2pix
Image-to-Image Translation in PyTorch
Agchai52/SRN-Deblur
Repository for Scale-recurrent Network for Deep Image Deblurring
Agchai52/Awesome-Deblurring
A curated list of resources for Image and Video Deblurring
Agchai52/Burst-Image-Deblurring
Agchai52/DeblurGAN-tf
Tensorflow (tf) implementation of DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks
Agchai52/DMPHN-cvpr19-master
Pytorch Implementation of CVPR19 "Deep Stacked Multi-patch Hierarchical Network for Image Deblurring"
Agchai52/hdr-expandnet
Training and inference code for ExpandNet
Agchai52/imagenet-downloader
Downloader from ImageNet Image URLs
Agchai52/lectureCode-sp19
Code created for lecture during spring 19
Agchai52/Linear-Time-Algorithm-in-Bayesian-Image-Denoising-Based-on-Gaussian-Markov-Random-Field
Agchai52/LSD2
Joint Denoising and Deblurring of Short and Long Exposure Images with CNNs
Agchai52/MPRNet
Official repository for "Multi-Stage Progressive Image Restoration" (CVPR 2021). SOTA results for image deblurring, deraining, and denoising.
Agchai52/pulse
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
Agchai52/pyflow
Fast, accurate and easy to run dense optical flow with python wrapper
Agchai52/PyTorch-CycleGAN
A clean and readable Pytorch implementation of CycleGAN
Agchai52/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Agchai52/SelfDeblur
Neural Blind Deconvolution Using Deep Priors (CVPR 2020)
Agchai52/Tiny-Imagenet-200
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.