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    • Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation - REF5866V - Berlin - beBeeGenerative

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    Stellentitel: Master Thesis - Metric-Guided Diffusion Models for High-Fidelity In-Cabin Synthetic Data Generation - REF5866V

    Beschreibung

    Master Thesis: Metric-Guided Diffusion Models

    Project Overview:

    • Implement and experiment with diffusion-based image generation models.
    • Develop an evaluation pipeline for a large-scale, high-fidelity synthetic in-cabin image dataset.
    • Investigate metric-driven feedback loops to improve image generation quality.
    • Analyze the impact of synthetic data on downstream computer vision tasks.
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