Vue.ai Blog 2024年11月26日
Fashion Product Photos: An Exclusive Guide for Retailers
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电商体验很大程度上依赖于网站上产品图片的质量,高质量的产品图片可以提升用户参与度和转化率。然而,创建吸引人的产品图片并非易事。本文探讨了使用真人模特展示产品的重要性,以及AI技术如何帮助零售商自动化生成高质量的模特展示图。真人模特可以有效降低退货率,而AI技术则可以提供更便捷、更具包容性的解决方案,例如选择不同种族、身材和姿势的模特,从而满足多样化的消费者需求。此外,文章还介绍了产品图片的基本要求,例如分辨率、灯光、背景等,旨在帮助零售商提升产品图片质量,优化购物体验。

🤔 **产品图片对电商至关重要:** 75%的网购消费者依赖产品图片做出购买决策,高质量的图片可以提升用户参与度和转化率,并降低退货率。

🧑‍🤝‍🧑 **真人模特展示产品更有效:** Baymard研究表明,尤其对于服装、配饰等需要展示穿着效果的产品,真人模特比模特道具更能帮助消费者做出购买决定,提升购买信心。

💡 **AI技术助力自动化生成模特展示图:** Vue.ai的VueModel利用AI技术,可以将产品自动合成到不同模特身上,解决传统拍摄的限制,例如时间、资源、模特选择等问题,并实现更多样化的展示效果,例如不同种族、身材和姿势的模特。

📸 **产品图片的基本要求:** 包括分辨率至少1024x1024像素,自然光线,简洁的背景,多角度拍摄,以及避免过度后期处理等,确保图片清晰、准确地展示产品。

🌈 **AI技术推动电商产品图片的包容性:** AI技术能够帮助零售商创建更具包容性的产品图片,例如提供不同种族、身材和姿势的模特选择,满足不同消费者的需求。

Reading Time: 4 minutes

A whopping 75% of online shoppers rely on product photos when deciding on a potential purchase!

It’s true: eCommerce experiences are greatly dependent on the quality of photos on the site. They set the narrative, convey the brand’s story, and help greatly in converting the shopper. Photos, in short, make or break site engagement and conversions.

However, creating good quality product photos that shoppers find relatable and attractive is a big challenge. With the right means and know-how, retailers can showcase their products in ways that kindle the shoppers’ curiosity.

The Need For Human models 

According to Baymard Guidelines [An Independent Web UX Research Institute], displaying product images on human models is essential to support purchase decisions, whether for apparel or non-apparel items such as accessories, bags, and sunglasses. 

This practice aims to decrease return rates and the cost associated with returns. Specifically, products intended to be worn, such as apparel, accessories like bags, and jewelry require the context of a human model to convey their true essence effectively. 

Without the context, shoppers are left to estimate the product’s suitability based on less informative images and product information, leading to decreased confidence and a lower likelihood of making a purchase.

I’ll search on Google; for example, ‘Lolly’s Laundry, Eva dress’ and to see if there’s any pictures with the dress on a person. Where the person wears the dress.” When users really want to see clothing on a model, such as this European test participant on the Nordic site Boozt, there is a real danger that they could go elsewhere to find those images. In some cases, they may not return. Source – Baymard.com

Additionally, Baymard advises against using mannequins or ghost mannequins when possible, as real human models are preferred for their authenticity. Shoppers also would feel confident in purchasing the product without doubts. 

Bonus: The Basics of Optimal Resolution Images

Baymard study further notes that common image types like “Cut Out” or “In Scale” often fail to provide this crucial visual context that users appreciate, although they can enhance the shopping experience to some extent.

Retailers must make sure product photos are of a size that looks good on all screens – and clear even when zoomed in. However, they should not be heavy or increase the load time of the page. 

For shoppers who are visual buyers, poor quality could easily spoil their shopping experience because bad images might prompt them to navigate away or question the authenticity of the website.

Shopify recommends that photos be at least 1024 x 1024 pixels in size and at 72 dpi. Additional guidelines include:

The Power of AI

Vue.ai’s AI-powered on-model imagery, VueModel, is here to solve both these important challenges. VueModel, enables retailers to automate the creation of on-model fashion imagery

The AI is trained to understand the attributes of the input model image as well as the input fashion product, enabling it to synchronize the product on the model correctly and with ease.

Retailers can opt for either photos of real human models or 3D-generated virtual models to showcase their fashion products. Additionally, the tool accepts all input image types: mannequin, ghost mannequin, 3D-rendered images, and product shots. 

AI-powered on-model imagery solution does not have time and resource restrictions like a traditional model photoshoot, it is a lot more customizable.

What’s more, eCommerce teams can choose from models of different, ethnicities, sizes, and in many different poses – all with a set of input images of the product. This makes building inclusive product photos accessible to all retailers!

To learn more about Vue.ai’s on-model imagery, click here.

Read more related articles:

How AI Reshapes Fashion Pre-Production

A Better Way of Creating Product Photos: Photoshoot Alternative for Fashion Retail

Reduce eCommerce Returns: An AI Powered Fix

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