Revolutionizing Image Transmission: Semantic Communication with Swift and CoreML
research#computer vision📝 Blog|Analyzed: Feb 25, 2026 16:30•
Published: Feb 25, 2026 13:36
•1 min read
•Zenn MLAnalysis
This innovative project showcases a novel approach to image transmission, moving beyond pixel-by-pixel transfer to semantic representation. The implementation using Swift, CoreML, and Stable Diffusion promises exciting possibilities for more efficient and intelligent communication. It's a fascinating leap towards a future where data transfer is driven by meaning.
Key Takeaways
- •The project focuses on transmitting images based on their meaning (semantic representation) rather than raw pixel data.
- •It leverages Swift, CoreML, and Stable Diffusion to create a communication application.
- •The system transforms images into semantic vectors, then into tag sequences, and finally regenerates the image on the receiving end.
Reference / Citation
View Original"This is an approach that is close to "semantic communication" from a research perspective."