seriously-cq's repositories
DeepLPF
Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement"
Spatially-Varying-Blur-Detection-python
python implementation of the paper "Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes" - cvpr 2017
image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
art-DCGAN
Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others.
MSBDN-DFF
The source code of CVPR 2020 paper "Multi-Scale Boosted Dehazing Network with Dense Feature Fusion"
inference
Reference implementations of inference benchmarks
nothing
There is nothing
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Awesome-Image-Inpainting
A curated list of image inpainting and video inpainting papers and resources
unet
unet for image segmentation
RFR-Inpainting
The source code for CVPR 2020 accepted paper "Recurrent Feature Reasoning for Image Inpainting"
tensorflow-windows-wheel
Tensorflow prebuilt binary for Windows
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
NICE-GAN-pytorch
Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation
SEAN
SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)
edge-connect
EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212
PEN-Net-for-Inpainting
[CVPR'2019]PEN-Net: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
dcgan_code
Deep Convolutional Generative Adversarial Networks
MSGAN
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
semantic_image_inpainting
Semantic Image Inpainting
DCGAN-PyTorch
PyTorch Implementation of DCGAN trained on the CelebA dataset.
Inpainting
Python implementation of "Region Filling and Object Removal by Exemplar-Based Image Inpainting"
HiFST
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
vcnn_double-bladed
Vectorized implementation of convolutional neural networks (CNN) in Matlab for both visual recognition and image processing.
iqmetrics
Image Quality Metrics in Matlab
geo-blur
In this code, re-implementation of geometric blur was done. The code is primarily in python with an invocation to C. David Lowe's sift keypoint detection is used. (His binary was used. For liecense agreement of sift refer http://people.cs.ubc.ca/~lowe/)