masom9768 Goto Github PK

adgan

The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;

asenpp

celebamask-hq

A large-scale face dataset for face parsing, recognition, generation and editing.

cloth-segmentation

This repo contains code and a pre-trained model for clothes segmentation.

clothing-co-parsing

CCP dataset from "Clothing Co-Parsing by Joint Image Segmentation and Labeling " (CVPR 2014)

clothinggan

AI-Powered Clothing Design Generator

cp-vton-plus

Official implementation for "CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On", CVPRW 2020

datasource

dcton

[CVPR 2021] Disentangled Cycle Consistency for Highly-realistic Virtual Try-On

deep-fashion-attribute

A sub-function of deep fashion network for attribute prediction

deepfashion

Implementation of a convolutional neural network model on real life data (self-taken images). Using transfer learning technique with a pre-trained model (VGG16) to classify images of clothing, built by Keras, Python.

deepfashion-deep-learning-for-fashion-classification

The DeepFashion dataset is a large-scale clothes database, which has several appealing features: Clothing Category and Attribute Prediction, In-shop Clothes Retrieval Benchmark, Consumer-to-Shop Clothes Retrieval Benchmark, and Fashion Landmark Detection Benchmark, collected by the Multimedia Lab at the Chinese University of Hong Kong. However, for our project, we’ll use only the Category and Attributes Prediction dataset because we’re going to work on detecting and classifying clothing in existing images, and even generating new similar images. To follow along, download the dataset. Category and Attributes Prediction is a huge dataset that contains images of clothes segregated into highly specific categories by different attributes. For example, blouses with sleeves are considered different from sleeveless ones. For this project, we made our own data subset, reducing the volume of images and category specificity, for simplicity and lower computation costs. We reduced our classification from DeepFashion’s original 46 categories to 15 categories. Then, we selected 500-700 images from each of our simplified categories.

deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

deepfashion_mrcnn

Fashion Item segmentation with Mask_RCNN

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dressing-in-order

(ICCV 2021) Official code of "Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing."

fashion-ai

fashion-clothing-parsing

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

fashion-editing

Fashion editing on Pytorch (python)

ffmpeg-quality-metrics

Calculate quality metrics with FFmpeg (SSIM, PSNR, VMAF)

free-programming-books

:books: Freely available programming books

global-flow-local-attention

The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

graphonomy

Graphonomy: Universal Human Parsing via Graph Transfer Learning

image-fashion-clothes

image-similarity-measures

:chart_with_upwards_trend: Implementation of eight evaluation metrics to access the similarity between two images. The eight metrics are as follows: RMSE, PSNR, SSIM, ISSM, FSIM, SRE, SAM, and UIQ.

keras-gan

Keras implementations of Generative Adversarial Networks.

masom9768

Config files for my GitHub profile.

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

pise

pix2pix

Image-to-image translation with conditional adversarial nets