Expert Deep Learning Engineer for Custom Generative Model to Create Artist-style Graphics of Original Photos
Budget: £100 – £120 GBP
We are looking for an experienced deep learning engineer to develop a custom generative model for creating soccer player graphics in the style of a specific artist. (Some of our artist images can be found in the files). The ideal candidate will have a strong background in generative models, including GANs, VAEs, or other relevant techniques, and a proven track record of developing and deploying deep learning models for image generation tasks.
Project Requirements:
1. Develop a generative model to create our Artist-style soccer player graphics. The model should capture the overall style and appearance of our artists' graphics while generating diverse and high-quality images.
2. Implement the model using popular deep learning frameworks such as TensorFlow or PyTorch etc., ensuring that the code is clean, well-documented, and easy to maintain.
3. Train the model using a dataset of our artists'-style graphics provided by us (approximately 500 images). The candidate may need to preprocess the data as necessary for the chosen model architecture.
4. Evaluate the model's performance using logic. Does the output look like the original artists' input.
To apply, please submit the following:
A. A brief summary of your experience with generative models, particularly in the context of image generation tasks.
B. Examples of past projects involving GANs, VAEs, or other relevant techniques, including any relevant code repositories, publications, or presentations.
C. Your availability to work on this project and an estimated timeline for completion.
D. Any questions or clarifications you may have about the project requirements.
We are looking for a dedicated and detail-oriented individual who can communicate effectively and collaborate with our team. If you have the required expertise and a passion for tackling complex deep learning challenges, we would love to hear from you.
Project Requirements:
1. Develop a generative model to create our Artist-style soccer player graphics. The model should capture the overall style and appearance of our artists' graphics while generating diverse and high-quality images.
2. Implement the model using popular deep learning frameworks such as TensorFlow or PyTorch etc., ensuring that the code is clean, well-documented, and easy to maintain.
3. Train the model using a dataset of our artists'-style graphics provided by us (approximately 500 images). The candidate may need to preprocess the data as necessary for the chosen model architecture.
4. Evaluate the model's performance using logic. Does the output look like the original artists' input.
To apply, please submit the following:
A. A brief summary of your experience with generative models, particularly in the context of image generation tasks.
B. Examples of past projects involving GANs, VAEs, or other relevant techniques, including any relevant code repositories, publications, or presentations.
C. Your availability to work on this project and an estimated timeline for completion.
D. Any questions or clarifications you may have about the project requirements.
We are looking for a dedicated and detail-oriented individual who can communicate effectively and collaborate with our team. If you have the required expertise and a passion for tackling complex deep learning challenges, we would love to hear from you.