The paper provides the first theoretical analysis of multi-modal super-resolution and proposes M³ESR, a mixture-of-experts framework with spatially dynamic and temporally adaptive modality weighting that improves generalization and semantic consistency.
arXiv Preprint arXiv:2412.02960 (2024)
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2roles
background 1polarities
background 1representative citing papers
DiSIINet uses DDIM with a Symbiotic Information Interaction module to jointly enhance and segment multi-modal medical images, reporting gains over sequential pipelines.
citing papers explorer
-
Adaptive Context Matters: Towards Provable Multi-Modality Guidance for Super-Resolution
The paper provides the first theoretical analysis of multi-modal super-resolution and proposes M³ESR, a mixture-of-experts framework with spatially dynamic and temporally adaptive modality weighting that improves generalization and semantic consistency.
-
Joint Medical Image Enhancement and Segmentation with Diffusion-based Symbiotic Information Interaction
DiSIINet uses DDIM with a Symbiotic Information Interaction module to jointly enhance and segment multi-modal medical images, reporting gains over sequential pipelines.