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

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

A large-scale high-quality human dataset with rich multi-modal annotations

A clothing retrieval and visual recommendation model for fashion images.

Apparel detection using deep learning

Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images (ECCV2020)

[ECCV 2020] XingGAN for Person Image Generation

[BMVC 2020 Oral] Bipartite Graph Reasoning GANs for Person Image Generation

1st place solution (Team StylingAI Inc. & PKU AIIC) for CVPR 2020 DeepFashion2 Clothes Landmark Detection Track. Aggregation and Finetuning for Clothes Landmark Detection

[CVPR 2022] Exploring Dual-task Correlation for Pose Guided Person Image Generation

:fire: [PR 2023] Multi-scale Attention Guided Pose Transfer (official code).

Fashion editing on Pytorch (python)

pytorch implementation of the deepfashion architecture (https://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Liu_DeepFashion_Powering_Robust_CVPR_2016_paper.pdf)

This is an updated implementation of Simple image retrieval algorithm on deep-fashion dataset with pytorch

No description available

Fashion Item segmentation with Mask_RCNN

:fire: [ECCV 2022] TIPS: Text-Induced Pose Synthesis (official code).

Virtual Fashion TryON - Fashion(Garment) transfer on a given target using Deep learning.

Retrained SSD-resnet50 model to detect multiple fashion items

Apply Tensorflow Object Detection API to DeepFashion Datatset

Image retrieval with triplet loss

Extended Annotations of DeepFashion Images for Fine-grained Recognition

[Failed] AI to recognize emotions, apparel, body pose and activity in images, and measure how they affect audience engagement. ie. likes and comments.

No description available

Implement neural network for fashion category and recoginition

基于DeepFashion数据库做毕设

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.

Fashion detection dataset DeepFashion2 framework Detectron2 +Flask

Server implementation for deep fashion API

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