Improving Text-Instance Alignment Of Foreground Conditioned Out-Painting Via Customized Concept Embedding

arXiv:2606.10892v1 Announce Type: cross Abstract: To showcase products, merchants often incur substantial costs creating high-quality display images. Foreground Conditioned Outpainting (FCO) meets this demand, allowing users to create desired backgrounds for foreground instances at a low cost by adjusting the text prompt. However, existing text-driven FCO methods exhibit critical flaws in their outputs, most notably the presence of artifacts, which refer to regions in the synthesized background that share the same semantics as the foreground instance. Such artifacts diminish the object's promi
The proliferation of AI image generation techniques is driving demand for specific improvements in functionality, such as precise background generation for product display, reflecting current commercial needs.
This development addresses a key commercial pain point for online merchants by significantly reducing the cost and effort involved in creating high-quality, customized product imagery for e-commerce, impacting digital marketing and retail.
The existing limitations of text-driven Foreground Conditioned Outpainting (FCO) are being overcome, leading to more refined and artifact-free AI-generated backgrounds, making the technology commercially viable for broader adoption.
- · E-commerce platforms
- · Digital marketing agencies
- · Small to medium-sized businesses
- · AI image generation software providers
- · Traditional product photography studios
- · Low-quality image stock providers
Merchants can now produce high-quality, customized product images at scale and at significantly lower costs.
The visual standard for e-commerce product listings will rise, increasing competitive pressure on businesses lacking access to similar AI tools.
This could lead to a shift in consumer expectations for product presentation, further accelerating the adoption of AI-driven visual content creation across industries.
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Read at arXiv cs.AI