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 jointly launched by Nanjing University of Science and Technology, Xiaohongshu, and other institutions. CSGO aims to provide users with richer and more diverse image creation tools. The project proposes an innovative data construction pipeline for generating and cleaning stylized data triplets, and builds a large-scale style transfer dataset named IMAGStyle. Based on the dataset, the CSGO framework achieves image-driven style transfer, text-driven stylized synthesis, and text-editing-driven stylized synthesis through end-to-end training, significantly enhancing style control in image generation.
CSGO's main features
- Image-driven style transfer: Users apply the style of one image to another image to achieve visual style conversion while preserving the semantics of the original content.
- Text-driven stylized synthesis: Input a text description to generate an image with a specific style, demonstrating the ability to understand natural language and convert text into visual style.
- Text-editing-driven stylized synthesis: After generating an image, users further adjust the image's style by editing the text description, providing a higher level of creative control.
- End-to-end training model: CSGO adopts an end-to-end training method, where the entire process from input to output is continuous, without the need for staged processing, improving the model's efficiency and effectiveness.
- Feature injection technology: Through independent feature injection technology, CSGO explicitly decouples content and style features, extracting and fusing them separately into the generated image, ensuring content accuracy and style consistency.
CSGO's technical principles
- Data construction pipeline: CSGO generates and cleans stylized data triplets through an automated data construction pipeline. The triplets include a content image, a style image, and the corresponding stylized result image.
- End-to-end training model: CSGO adopts an end-to-end training method, where the model learns directly from input to output without staged processing, improving the model's efficiency and effectiveness.
- Feature injection technology：
- Content control: Uses a pre-trained ControlNet and additional learnable cross-attention layers to inject content features into the base model, preserving the semantics and layout of the original content.
- Style control: Through a pre-trained image encoder and style projection layers, style features are extracted and injected into the model's upsampling blocks and independent style control modules.
- Diffusion model: CSGO uses a diffusion model to gradually remove noise to generate images, applying a style to a content image in the context of style transfer while maintaining content integrity.
- Content Alignment Score (CAS): CSGO introduces the Content Alignment Score (CAS) to measure the content consistency between the generated image and the original content image, evaluating the quality of style transfer.
CSGO's project addresses
- Project website：csgo-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's application scenarios
- Artistic creation: Artists and designers use CSGO to explore new artistic styles, create unique digital artworks, or experiment with different visual expression techniques while keeping the content theme unchanged.
- Digital Entertainment: In game development and film production, CSGO is used to generate scene and character concept art with specific styles, providing diverse visual elements for digital content creation.
- Design Industry: Designers use CSGO to quickly generate design sketches and prototypes, showcase product designs through different stylized images, or rapidly iterate and test different visual styles during the design process.
- Advertising and Marketing: Marketers use CSGO to generate attractive advertising visual content, stylize product images to attract target audiences, or customize unique visual styles based on brand image.
- Social Media Content Creation: Content creators and influencers use CSGO to create stylized content for social media platforms (such as Instagram, Xiaohongshu, etc.), enhancing visual appeal and personalized expression.