I2I
term_id: i2i
Category: basic_concepts
Definition
Image-to-Image (I2I) translation involves mapping pixels from a source domain to a target domain using deep learning models, such as GANs or diffusion models. It allows for style transfer, semantic segmentation, and photo enhancement. The process maintains the structural integrity of the original image while altering its appearance or attributes according to specific constraints or learned distributions.
Summary
Image-to-Image translation is a computer vision technique that transforms an input image into a corresponding output image while preserving semantic content.
Key Concepts
- Generative Adversarial Networks
- Semantic Segmentation
- Style Transfer
- Latent Space
Use Cases
- Artistic style transfer
- Photo colorization
- Satellite image enhancement