The 4th Look Into Person (LIP) Challenge - Track 3 Image-based Multi-pose Virtual Try-on Challenge

Organized by ZhenyuXie - Current server time: Sept. 27, 2020, 3:06 p.m. UTC

Current

Development
Feb. 20, 2020, midnight UTC

End

Competition Ends
Sept. 30, 2020, midnight UTC

Overview

This task targets at the image-based multi-pose virtual try-on. Specifically, given an input person image, a desired clothing image, and a desired pose, the participator is asked to design algorithm to transfer the desired clothing to the person image and manipulate human poses.

Data Description

MPV (Multi-Pose Virtual try on) dataset, which consists of 37,723/14,360 person/clothes images, with the resolution of 256x160. Each person has different poses. We split them into the train/test set 52,236/10,544 three-tuples, respectively.

You can download the dataset at MPV(Google Drive).

Dataset Examples

Evaluation Metrics

For image-based multi-pose virtual try on, we use two metrics for evaluation:

It is worth to note that, the evaluation metric for the Development phase is SSIM while the evaluation metric for the Final phase is AMT.
Specifically, during the Development phase, We measure the SSIM score between the generated images and ground truth images. The person of each pair is wearing same clothes. The due date for the Development phase is May 20, 2020, 00:00 AM UTC. The TOP 10 users will be invited to attend the Final phase.
During the Final phase, We conduct A/B tests deployed on AMT platform for user study. The person of each pair is wearing different clothes. We will pick the TOP 10 users of Development phase to participate in the AMT evaluation. We will replace the instructions of the testset, the 10 users must upload the new results for AMT evaluation before June 6, 2020, 00:00 AM UTC. We will announce the AMT scores in June 12, 2020.

Submission Format

A folder named mtryon_results.zip (Click to download a template file) contains your predicted images with .jpg format. The number of images should be the same of our Testing set. Make sure these and then package the folder with zip format. Submit your results.zip and wait to see your rank.

Terms and Conditions

General Rules

  • Each entry is required to be associated to a team and its affiliation.
  • Using multiple accounts to increase the number of submissions is strictly prohibited.
  • Results should follow the correct format and must be uploaded to the evaluation server through the CodaLab competition site. Detailed information about how results will be evaluated is represented on the evaluation page.
  • The best entry of each team will be public in the leaderboard at all time.
  • The organizer reserves the absolute right to disqualify entries which is incomplete or illegible, late entries or entries that violate the rules.

Datasets

  • The datasets are released for academic research only and it is free to researchers from educational or research institutions for non-commercial purposes. When downloading the dataset you agree not to reproduce, duplicate, copy, sell, trade, resell or exploit for any commercial purposes, any portion of the images and any portion of derived data.
  • Please cite the following paper if you use the MPV dataset.

Haoye Dong, Xiaodan Liang, Bochao Wang, Hanjiang Lai, Jia Zhu, and Jian Yin. Towards multi-pose guided virtual try-on network. InICCV, 2019.

Concate Us

For more information, please concate us at xiezhy6@mail2.sysu.edu.cn or donghy7@mail2.sysu.edu.cn.

Development

Start: Feb. 20, 2020, midnight

Competition Ends

Sept. 30, 2020, midnight

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# Username Score
1 thaithanhtuan 75.64
2 MoShuShi 75.29
3 saberZero 73.52