Hi! We're seeking a skilled and talented Machine Learning Specialist to replicate the OutfitAnyone model of virtual try-on (https://humanaigc.github.io/outfit-anyone/). You will be responsible for developing and implementing a virtual try-on system based on the conditional diffusion model, enabling users to visualize garments and complete outfits seamlessly on their own images.
Key Responsibilities:
Model Replication:
- Analyze and understand the existing OutfitAnyone model, particularly its conditional diffusion model architecture.
- Replicate the model while ensuring improvements and optimizations for enhanced performance.
Garment Image Transfer:
-Develop algorithms for the accurate and seamless transfer of garment images onto users' images, considering factors such as pose, lighting, and user-specific characteristics.
Outfit and Individual Garment Support:
-Design and implement the model to work seamlessly for both complete outfits and individual garments, providing a versatile and comprehensive virtual try-on experience.
- Further Integration:
Collaborate with software engineers to integrate the virtual try-on model into API and plugins, ensuring compatibility and optimal performance.
Qualifications:
- Proven experience in developing and implementing machine learning models, with a focus on computer vision and deep learning.
- Expertise in diffusion models.
- Strong programming skills in languages such as Python and proficiency with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with data preprocessing, augmentation, and model optimization techniques.
We believe in recognizing and rewarding exceptional talent. As a Machine Learning Specialist working on this project, you are not just contributing to a project; you are shaping the future of our company. Upon the successful implementation of this project, there is an exciting opportunity for you to transition into a leadership position within our tech startup.
This job is already closed and no longer accepting applicants, sorry.
