Definition
Image To Image (I2I) involves using deep learning models, such as GANs or diffusion models, to convert one image into another. Unlike simple filters, I2I can drastically alter appearance, such as turning sketches into photorealistic images, changing seasons, or translating styles between artistic domains. The process relies on understanding the semantic structure of the source image to ensure the output remains relevant to the input while achieving the desired transformation effect.
Summary
A generative AI technique that transforms an input image into a different style, format, or content while preserving structural elements.
Key Concepts
- Style Transfer
- Semantic Segmentation
- Diffusion Models
- Conditional Generation
Use Cases
- Artistic style transfer
- Photo enhancement and restoration
- Architectural visualization rendering