Diyshow

An analysis using Agent-Based Modeling to simulate consumer decision-making in fast fashion, exploring the impact of awareness, social influence, and policy interventions on sustainable shifts.

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.

Introducing the Fashion-Diffusion dataset: over 1 million high-resolution fashion images with detailed text descriptions, setting a new benchmark for text-to-image synthesis in fashion design.

A research paper proposing the BUG workflow using Large Multimodal Models for fine-grained fashion design customization via image-into-prompt, with a new FashionEdit dataset.

Analysis of IMAGGarment, a two-stage framework for high-fidelity garment synthesis with precise control over silhouette, color, and logo placement, including its technical contributions and the GarmentBench dataset.

An analysis of how generative AI is transforming fashion design workflows, challenging creative paradigms, and raising socio-ethical questions about authorship and materiality.

A research paper presenting a novel approach for large-scale digital fabrication using hierarchical lattice blocks and mobile assembly robots, with a live digital twin for coordination.

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

Analysis of the HAIGEN system, a novel framework for Human-AI collaboration in fashion design, featuring cloud-based text-to-image generation and local modules for sketch and style processing.

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, strategies, and future directions.

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

Research on optimizing the bulking process of plush yarns using a SUPERBA TVP-2S installation, focusing on pre-vaporization temperature and belt speed to improve carpet quality.

Analysis of DiffFashion, a novel diffusion model-based method for transferring reference appearance onto clothing images while preserving structure, outperforming state-of-the-art baselines.

Analysis of ST-Net, a novel unsupervised framework for generating fashion-compatible clothing items without paired training data, leveraging style and texture attributes.

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.

Analysis of the VTONQA dataset, the first multi-dimensional quality assessment benchmark for Virtual Try-On (VTON) images, including dataset construction, model benchmarking, and future directions.