How AI is changing fashion imagery, from virtual try-on and AI models to the research behind them.
44 articles in this category
In this technical blog post, we will explore the most common datasets used for clothing segmentation and human parsing. We will review their key characteristics and highlight issues to watch out for when working with them.
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Discover how virtual try-on technology offers fashion startups a cost-effective and innovative way to create a strong online presence, bypassing the challenges of traditional photoshoots.
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We have exciting news to share! Our TryOnDiffusion implementation is now open-sourced on GitHub.
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Virtual try-on technology is set to revolutionize the fashion dropshipping industry by enabling the creation of customized virtual photoshoots with a diverse array of digital models. Let's delve into how this innovative tool can transform the way fashion dropshippers showcase their products.
3 min read
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OOTDiffusion is a new virtual try-on solution based on latent diffusion that was launched this month. It quickly gained popularity and became highly sought-after soon after its release. In this review, we will explore their capabilities and discuss any limitations.
3 min read
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OutfitAnyone by HumanAIGC is a virtual try-on demo that emerged in December 2023. It allows users to simulate any clothing on an AI-generated model, achieving some very impressive results. This review will explore the demo's strengths and weaknesses, providing insights into its current performance and capabilities.
4 min read
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The latest technological advancements continue to shape numerous professions in ways we cannot yet fully predict. This article will explore how recent AI technologies might influence the future of fashion modeling.
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2023 was the year of AI innovation. We've seen a significant surge in AI startups reshaping various industries, so what about fashion, one of the world’s largest industries? Let's explore how AI is used in fashion.
4 min read
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