Nice landing page! I especially like the small detail in the "Powerful Solution for Your Business" section, where the images nicely flow with the wavy line.
I have a couple of questions:
1. I assume you train your own models, or at least to some extend do some fine-tuning. For this, how do determine/create a metric for whether the model improves? I would assume you would need to look through a lot of outputs manually?
2. Do I understand correctly that you first supply an image of someone wearing a particular outfit, and then you transfer that outfit to a different model using AI? How dependent is the result on the quality of this initial image? Is there a big market for transferring clothes from one model to another?
Thank you for your thoughtful questions. I’d be happy to provide some details:
1. Model Training and Evaluation: Yes, we do train our own models, including specialized ones like AI model try-on and fashion image-to-video conversion. Additionally, we fine-tune certain models, such as hand-repair. To determine whether our models are improving, we employ a case-by-case evaluation approach. This involves manually reviewing and comparing outputs to ensure that each new iteration effectively addresses the issues found in previous versions. This meticulous process helps us maintain high-quality performance and continuously enhance our models.
2. AI Fashion Model and Virtual Try-On: AI Fashion Model allows to take an image of someone wearing a particular outfit and transfer that outfit onto a different model using AI. The quality of the initial image plays a significant role in the final result. High-resolution, well-lit images lead to more accurate and realistic outfit transfers. Our technology leverages powerful feature embeddings to control the generation process, ensuring that the transferred clothing fits naturally on any individual.
Thanks for asking about market applications. Currently, this tech works best for marketing materials and social ads where rapid content generation is prioritized over perfect details. For e-commerce main product images that directly affect sales, we still recommend professional photo shoots with proper lighting and detailed post-processing, as these require higher precision and authenticity.
Also, is there a reason that you are highlighting child models and underwear models? To me that sends a weird vibe. However, I am also surely not your target audience
Thanks for pointing this out. Those categories were included for SEO testing purposes only. We'll review and adjust our showcase examples to better reflect our professional focus on general e-commerce fashion photography
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[ 4.7 ms ] story [ 25.2 ms ] threadI have a couple of questions:
1. I assume you train your own models, or at least to some extend do some fine-tuning. For this, how do determine/create a metric for whether the model improves? I would assume you would need to look through a lot of outputs manually?
2. Do I understand correctly that you first supply an image of someone wearing a particular outfit, and then you transfer that outfit to a different model using AI? How dependent is the result on the quality of this initial image? Is there a big market for transferring clothes from one model to another?
1. Model Training and Evaluation: Yes, we do train our own models, including specialized ones like AI model try-on and fashion image-to-video conversion. Additionally, we fine-tune certain models, such as hand-repair. To determine whether our models are improving, we employ a case-by-case evaluation approach. This involves manually reviewing and comparing outputs to ensure that each new iteration effectively addresses the issues found in previous versions. This meticulous process helps us maintain high-quality performance and continuously enhance our models.
2. AI Fashion Model and Virtual Try-On: AI Fashion Model allows to take an image of someone wearing a particular outfit and transfer that outfit onto a different model using AI. The quality of the initial image plays a significant role in the final result. High-resolution, well-lit images lead to more accurate and realistic outfit transfers. Our technology leverages powerful feature embeddings to control the generation process, ensuring that the transferred clothing fits naturally on any individual.