REBIRTH
Textile prototype - Creative coding + Fashion
Rebirth imagines a future where nature reclaims the world, fundamentally reshaping clothing design and human interaction with garments. The project envisions clothing as adaptable, multifunctional extensions of their wearers—transformative pieces such as coats that can be dismantled and rearranged to create entirely new silhouettes, enabling infinite reinvention from a single design.
Drawing heavily from Jeff VanderMeer's Annihilation, the project explores themes of transformation, renewal, and nature's overpowering force. This literary influence shaped Rebirth's narrative of a world where nature reclaims control, influencing not just the environment but fundamentally altering how humans interact with and conceive of clothing itself.
The garments embody this post-apocalyptic adaptability through modular construction systems with strategic detachment points, allowing pieces to be reconfigured into entirely new forms. The textiles feature organic, cellular quilting patterns that evoke natural growth processes—as if the fabric itself has been influenced by the reclaiming forces of nature. These biomimetic surfaces suggest materials that have adapted and evolved, maintaining their protective function while bearing the marks of environmental transformation.
The final pieces demonstrate how conceptual vision translates into wearable reality: coats with removable sections that can function independently, organic texturing that mimics natural cellular structures, and construction techniques that prioritize both durability and metamorphosis. This exploration of renewal and transformation informs both the aesthetic language and functional innovation of each garment, creating clothing that evolves alongside its wearer's needs in a world where adaptability means survival.
Technical
- Leveraged machine learning to explore the potential of AI-driven textile design.
- Trained a MUNIT model over four days on Google Colab for efficient and scalable processing.
- Cross-referenced a custom dataset of archival images from Alexander McQueen's runway shows and Alphonse Mucha’s Art Nouveau works.
- Pushed the boundaries of artistic expression by blending technology with creative design, showcasing the role of machine learning in redefining textile innovation.
Role & Contributions
- Dataset Curation: Selected and pre-processed images to ensure a diverse and high-quality dataset for training, emphasizing intricate patterns and artistic styles.
- Technology Stack: Employed Google Colab for cloud-based GPU acceleration, enabling efficient computational processing and seamless handling of large-scale data.
- Textile Design Mockups: Transformed AI-generated visuals into practical mockups, integrating them into the project’s overarching theme of nature-inspired, transformative fashion.
* MUNIT model results from a custom collected dataset of archival images from Alexanfer McQueen’s runyway shows & Alphonse Mucha’s art nouveau works.
from concept
to creation
This project led to the launch of my sister’s and my fashion brand, Saros, where we expanded on the ideas introduced in Rebirth to create small-batch, handmade pieces rooted in the concept of transformative wear. Each garment is designed to evolve alongside the wearer—modular, adaptive, and intentionally versatile. Drawing from our Egyptian heritage, we infused ancient symbolism and traditional craftsmanship into futuristic silhouettes, embedding a deeper narrative into every stitch. Saros embodies a design philosophy where transformation is not just aesthetic but cultural, emotional, and functional.
*models wearing the cyber vest