- Dat Tran
- Hoang Long Nguyen Huu
- Quan Hoang Ngoc
- Dai Truong Le Trong
- Anh Thu Tran Van
- Competition: Datathon Vietnam
- Season: HK1, 2023
This project is an exciting blend of Augmented Reality (AR) technology and Shoe Fashion, creating a Virtual Try-On experience. Powered by a state-of-the-art Convolutional Neural Network (CNN) model, our system brings a unique and interactive way to try on shoes virtually. Inspired by the paper "AR Shoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones," we developed a Minimum Viable Product (MVP) that was showcased at the Datathon Vietnam competition.
Our project is an AR Shoe Try-On System that allows users to virtually try on shoes using their smartphones. The system uses AR technology to overlay shoes onto the user’s feet in real time, creating an immersive and interactive experience. This project is designed for anyone interested in the fusion of fashion and technology, particularly those in the retail or e-commerce industry looking to enhance customer engagement.
- Video Showcase: Watch the AR Shoe Virtual Try-On Demo (LQD.QT MVP)
The primary goal of this project was to explore the potential of AR in transforming the shopping experience. By integrating AR with a CNN model, we aimed to provide users with a realistic and engaging way to try on shoes virtually, reducing the need for physical try-ons and enhancing online shopping.
- AR Technology: Utilized to create the real-time shoe try-on experience.
- CNN Model: Implemented to accurately position and fit the virtual shoes on the user’s feet.
- Inspiration: Derived from the paper "AR Shoe: Real-Time Augmented Reality Shoe Try-on System on Smartphones."
- Model Training: The CNN model was trained to recognize and overlay shoes onto the user's feet with precision.
- MVP Creation: Developed a Minimum Viable Product that was successfully presented at the Datathon competition.
Through this project, we gained valuable insights into:
- The integration of AR technology with machine learning models.
- The challenges and solutions in developing a real-time virtual try-on system.
- How to create an engaging and practical application that can be used in the retail industry.
- Successfully developed and showcased a functional AR Shoe Try-On MVP.
- Gained recognition at the Datathon Vietnam for our innovative approach.
- Expanded our knowledge and skills in both AR technology and CNN model implementation.
Detailed installation instructions will be provided in the repository to help you set up and run the AR Shoe Try-On system on your device.
If you found this project inspiring or useful, please consider giving it a star ⭐ on GitHub. Your support motivates us to continue exploring and sharing innovative projects. Thank you for being a part of our journey!
