A causal disentanglement framework decouples degradation from content in FR-IQA using reconstruction and visual masking, enabling label-free quality prediction across diverse image domains.
Multiscale structural similarity for image quality assessment
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Causal Disentanglement-Inspired Degradation Representation Learning for Full-Reference Image Quality Assessment
A causal disentanglement framework decouples degradation from content in FR-IQA using reconstruction and visual masking, enabling label-free quality prediction across diverse image domains.