Diyshow

An analysis of an agent-based model simulating consumer shifts away from fast fashion, exploring the roles of awareness, social influence, and government intervention.

Analysis of a PhD project exploring how Generative Adversarial Networks (GANs) can be integrated into co-creative fashion design processes through mixed-initiative interfaces.

A comprehensive survey analyzing the process of rendering data into physical objects, covering methodologies, challenges, and future directions in data physicalization.

An artistic interactive installation that reimagines digital fabrication waste as sentient observers, provoking reflection on sustainability in HCI and creative technology.

An in-depth analysis of HieraFashDiff, a novel hierarchical diffusion framework that mimics the practical fashion design workflow for generation and fine-grained editing.

A novel framework enabling everyday users to create high-quality 3D garments through intuitive 3D sketching in AR/VR, powered by a conditional diffusion model and a new dataset.

An artistic interactive installation that reimagines digital fabrication waste as sentient observers, exploring sustainability in HCI through poetic interaction and environmental reflection.

Research analysis on how luxury brands utilize Non-Fungible Tokens (NFTs) to enhance brand image, exploring opportunities and strategic applications in the personal luxury goods segment.

Analysis of a dynamic fashion-design recommendation system for the metaverse, inspired by sound stimulus to enhance artist-audience connection.

Analysis of DiffFashion, a novel diffusion model for reference-based fashion design that transfers appearance while preserving clothing structure using semantic masks and ViT guidance.

A research paper introducing a novel dataset and retrieval pipeline for generating editorial-style fashion images from product photos, bridging e-commerce and fashion media.