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Evaluating and optimizing genai style-transfer pipelines for industrial use cases

Heverlee
Studenten
Publiée le 28 avril
Description de l'offre

Functie Flanders Make offers an internship focused on benchmarking and optimizing generative AI (GenAI) style-transfer and image-editing pipelines for industrial inspection systems. The project aims to improve the realism and variability of synthetic-to-real and real-to-real image translations to enhance training data quality for vision models in industrial applications. Industrial style-transfer challenge: The current pipeline uses diffusion models with masked guidance to transfer styles between synthetic and real images, producing annotated images valuable for training detection models, though improvements are possible. Internship goals: The internship involves benchmarking various GenAI methods, generating diverse masks, and reducing dependence on simulator data by increasing output robustness and variability. Learning outcomes: Participants will gain hands-on experience with diffusion models, fine-tuning style-transfer pipelines, handling domain shifts, creating randomized masks, using image-editing tools, and evaluating methods for industrial deployment. Profiel CANDIDATE PROFILE The position is for students with a background in computer science or AI. Aanbod PRACTICAL DETAILS Offering a 3-6 month internship or thesis opportunity at Flanders Make in Leuven, Belgium; With eligibility restricted by nationality and university affiliation. Bijlagen Download this topic here.

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