levindabhi Goto Github PK

acgpn

"Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR 2020. (Modified from original with fixes for inference)

autoretouch-pytorch

clip-notebooks

This repo contains various notebooks of expriment with clip performed by different peoples

cloth-segmentation

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

cool-fashion-papers

👔👗🕶️🎩 Cool resources about Fashion + AI! (papers, datasets, workshops, companies, ...) (constantly updating)

deepfashion_try_on

Official code for "Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content"，CVPR‘20 https://arxiv.org/abs/2003.05863

levindabhi.github.io

Personal website made with hugo

masked-gan-manifold

A mask-guided method for control over localized regions in StyleGAN2 images.

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation"

pytorch-distributed-dataparallel

Template for pytorch training code

self-correction-human-parsing-for-acgpn

An out-of-box human parsing representation extractor.

sievenet

This is the unofficial implementation of SieveNet: A Unified Framework for Robust Image-Based Virtual Try-On

stylegan2

StyleGAN2 - Official TensorFlow Implementation with practical improvements

stylegan2-ada

StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

styletransfer-on-videos

Unofficial pytorch implementation of 'Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization' [Huang+, ICCV2017]

teddy-bear-dataset

Contains images of teddy bear scraped from google photos

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

virtual-try-on

Repo contains results of virtual TryOn algorithm developed at Spyne.ai