Using both image features and CLIP text prompts to select among diffusion-generated candidates improves image reconstruction quality and low-SNR robustness in a simulated semantic communication system.
Rethinking modern communication from semantic coding to semantic communication,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Image Generation with Supervised Selection Based on Multimodal Features for Semantic Communications
Using both image features and CLIP text prompts to select among diffusion-generated candidates improves image reconstruction quality and low-SNR robustness in a simulated semantic communication system.