H&M clones its mannequins with AI: revolution in fashion e-commerce?

H&M clones its mannequins with AI: revolution in fashion e-commerce?

The fashion and e-commerce industry is constantly seeking innovative ways to present products and enhance the customer experience. The initiative by H&M clones its mannequins with AI, revealed through technology partnerships, marks a potentially significant step in this direction. By using artificial intelligence to create hyper-realistic and customizable virtual mannequins, H&M aims to showcase its collections more diversely, inclusively, and potentially more effectively, while optimizing costs and logistics associated with traditional photoshoots. This approach raises questions about the future of fashion photography, body representation, and perceived authenticity.

The technology: creating photorealistic virtual mannequins

The process behind AI mannequin cloning, as used by H&M clones its mannequins with AI, likely involves a combination of advanced technologies:

1. 3D Scanning or Photogrammetry: Capturing body and facial data from real mannequins or models to create detailed 3D models.
2. Generative AI Models (GANs, NeRFs, etc.): Using AI to virtually “dress” these 3D models with the collection’s garments, realistically simulating fabric drape, folds, textures, and lighting. Technologies like NeRFs (Neural Radiance Fields) are particularly adept at generating novel views of a 3D scene with striking realism.
3. Customization and Diversity: AI allows easy modification of virtual mannequin characteristics (body shape, skin tone, hairstyle) to present clothing on a wider diversity of bodies, responding to a growing demand for inclusivity.
4. Animation (optional): Potentially animating these virtual mannequins to create videos or interactive experiences, much like AI video avatars but applied to fashion.

Specialized companies in 3D modeling and AI for fashion collaborate with brands like H&M to develop these solutions.

Advantages for H&M and the fashion industry

The adoption of AI-generated virtual mannequins offers several potential advantages for H&M and other fashion players:

• Cost and Time Reduction: Eliminating or significantly reducing costs associated with traditional photoshoots (studio rental, models, photographers, stylists, retouching) and speeding up the time-to-market for products online.
• Increased Diversity and Inclusivity: Easily showcasing garments on a wide range of body shapes, sizes, and ethnicities without needing to cast a large number of real models.
• Customer Experience Personalization: Potentially allowing customers to visualize clothes on a virtual mannequin that more closely resembles them.
• Flexibility and Consistency: Quickly generating visuals for different channels (website, app, social media) with consistent quality and style. Virtually testing different clothing combinations or styles.
• Sustainability: Reducing the environmental footprint associated with travel for photoshoots and the physical production of samples.

This approach could transform how fashion products are visualized and sold online.

Ethical challenges and impact on perception

The use of AI mannequins by H&M clones its mannequins with AI is not without raising important questions. What about transparency towards the consumer? Are customers informed they are looking at AI-generated mannequins? A lack of transparency could be perceived as deceptive. What is the impact on professional models? Does this technology risk reducing their job opportunities? The issue of body representation is also complex: while AI allows for more diversity, it could also be used to create unrealistic body ideals or reinforce certain stereotypes if not guided by ethical principles (bias in AI). The perceived authenticity of clothes on virtual mannequins compared to real humans can also be a factor. Finally, the security and privacy of the body scan data from real models used to create the AI models is essential.

Brandeploy: managing visual assets in the era of AI mannequins

The use of virtual mannequins generates a large quantity of new visual assets (product images from different angles, on different “bodies”). Brandeploy is the ideal platform to manage this volume and ensure consistency. Companies can store and organize:

1. The base 3D models of approved virtual mannequins.
2. The final renderings of garments on these mannequins, categorized by product, collection, virtual mannequin type.
3. Usage guidelines for these visuals (which mannequins to use for which market segments, style rules, etc.).

Brandeploy’s validation workflows allow marketing and e-commerce teams to check the quality of AI renderings, their compliance with the product sheet and brand image before publication on the e-commerce site or other channels. Brandeploy thus ensures centralized management and rigorous quality control, even when visual production is largely automated by AI, guaranteeing a consistent and professional product presentation.

H&M innovates with AI mannequins. How does your brand manage the diversity and consistency of its product visuals in the age of AI?

Brandeploy helps you centralize, organize, and validate all your visual assets, whether real or virtual.

Ensure an impeccable and consistent product presentation across all your channels: request a demo.