AI-Generated Content (AIGC)
AI-Generated Content (AIGC) involves the use of artificial intelligence to create various forms of content, such as text, images, audio, and video. This technology enables the automated generation of creative works, enhancing productivity and enabling new forms of expression. AIGC has significant applications in industries like marketing, entertainment, and education, streamlining content creation processes and providing personalized experiences.
We mainly focus on the editing of person images by utilizing different data modalities.
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TexFit: Text-Driven Fashion Image Editing with Diffusion
Models
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI),
2024.
We propose a text-driven fashion image editing method using diffusion models, which only using the text as the initial generation condition, and could achieve close to the real effect of fashion image generation. We propose an editing region location model based on the text prompt to explicitly locate the editing region. We also create a new DFMM-Spotlight dataset, which is an image-region-text pair dataset that enables fnegrained text-guided local image editing.