Product Image

Product image research focuses on improving the quality, relevance, and utility of images used in e-commerce and related applications. Current efforts concentrate on automating tasks like product placement in images, correcting image defects, and generating high-quality product image sequences using techniques such as diffusion models, transformer-based encoders, and generative adversarial networks. These advancements aim to enhance user experience, improve search and recommendation systems, and optimize advertising strategies, ultimately impacting the efficiency and effectiveness of online retail and marketing.