This research proposes a framework for sustainable packaging design, enhancing efficiency and style variety.
The amelioration of individuals’ living standards persists, concomitantly fostering an accelerated evolution within the packaging industry. Concurrently, the ethos of sustainability deepens its roots within the collective consciousness. A discernible trend emerges wherein an increasing number of designs underscore their ornamental facade, neglecting practicality, user-friendliness, humaneness, and environmental stewardship. Consequently, the investigation into sustainable packaging reduction emerges as a pivotal research focus at the intersection of packaging design and environmental conservation. In this treatise, we propose a framework for packaging design within the context of sustainable and verdant progress—a generative style migration network. This innovative framework facilitates the evolution of packaging styles and accelerates swift design processes, thereby streamlining the lightweight design cycle of packaging. The foundational augmentation involves incorporating a Visual Geometry Group (VGG) feature comparison network into the loss function comparison segment of CycleGAN. Crucially, constraints are appended to ensure the model’s stability. Throughout the model’s training phase, a comprehensive comparative analysis unfolds, encompassing datasets of cartoon, sketch, and authentic packaging images. Objective quantitative indices, namely FID, SSIM, and PSNR, serve as benchmarks. The empirical results affirm the commendable performance of the proposed framework. In the subjective realm, satisfaction evaluations corroborate the framework’s efficacy, maintaining a notable 50% satisfaction rate across diverse style comparisons. This substantiates the framework’s image generation prowess, providing a robust technical foundation for the future landscape of multi-stylistic packaging design.
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Li et al. (2026) studied this question.
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