CSGO AI - An AI-powered text-to-image project launched by Xiaohongshu in collaboration with Nanjing University of Science and Technology
CSGO (Content-Style Composition in Text-to-Image Generation) is a research project on image style transfer and text-to-image generation, developed collaboratively by Nanjing University of Science and Technology, Xiaohongshu, and other institutions. CSGO's...
What is CSGO?
CSGO (Content-Style Composition in Text-to-Image Generation) is a research project on image style transfer and text-to-image generation, launched in collaboration with institutions such as Nanjing University of Science and Technology and Xiaohongshu. CSGO aims to provide users with richer and more diverse image creation tools. The project proposes an innovative data construction process for generating and cleaning stylized data triples, and constructs a large-scale style transfer dataset called IMAGStyle. Based on this dataset, the CSGO framework, through end-to-end training, achieves image-driven style transfer, text-driven stylized composition, and text-editing-driven stylized composition, significantly improving style control capabilities in image generation.
CSGO's main functions
- Image-driven style transferUsers can apply the style of one image to another to achieve visual style transfer while preserving the semantics of the original content.
- Text-driven stylized compositingThe app takes a text description as input and generates an image with a specific style, demonstrating its ability to understand natural language and transform text into visual styles.
- Text-edit driven stylized compositingAfter generating the image, users can further adjust the image's style by editing the text description, providing a higher level of creative control.
- End-to-end training modelCSGO employs an end-to-end training method, where the entire process from input to output is continuous, eliminating the need for staged processing and improving the model's efficiency and effectiveness.
- Feature injection technologyBy employing an independent feature injection technique, CSGO explicitly decouples content and style features, extracting and fusing them separately into the generated image to ensure the accuracy of the content and the consistency of the style.
CSGO technical principles
- Data building processCSGO generates and cleans stylized data triples through an automated data building process. The triples include a content image, a style image, and the corresponding stylized result image.
- End-to-end training modelCSGO employs an end-to-end training method, where the model learns directly from the input to the output without the need for staged processing, thus improving the model's efficiency and effectiveness.
- Feature injection technology:
- Content ControlBy using a pre-trained ControlNet and additional learnable cross-attention layers, content features are injected into the base model, preserving the semantics and layout of the original content.
- Style controlStyle features are extracted using a pre-trained image encoder and style projection layer, and then injected into the model's upsampling blocks and independent style control modules.
- diffusion modelCSGO uses a diffusion model to gradually remove noise to generate images, applying a style to the content image in the context of style transfer while maintaining the integrity of the content.
- Content Alignment Score (CAS)CSGO introduces a Content Alignment Score to measure the consistency between the generated image and the original content image in terms of content, and to evaluate the quality of style transfer.
CSGO project address
- Project official websitecsgo-gen.github.io
- GitHub repository:https://github.com/instantX-research/CSGO
- HuggingFace model library:https://huggingface.co/spaces/xingpng/CSGO
- arXiv technical paper:https://arxiv.org/pdf/2408.16766
CSGO application scenarios
- Artistic CreationArtists and designers use CSGO to explore new art styles, create unique digital artworks, or try different visual techniques while keeping the content theme the same.
- Digital EntertainmentIn game development and film production, CSGO is used to generate concept art for scenes and characters with specific styles, providing diverse visual elements for digital content creation.
- Design IndustryDesigners can quickly generate design sketches and prototypes based on CSGO, showcase product designs through different stylized images, or rapidly iterate and test different visual styles during the design process.
- Advertising and MarketingMarketers use CSGO to generate engaging visual advertising content, stylize product images to attract target audiences, or customize unique visual styles based on brand image.
- Social media content creationContent creators and influencers use CSGO to create stylized content for social media platforms such as Instagram and Xiaohongshu, enhancing visual appeal and personalized expression.