Towards a Universal Image Degradation Model via Content-Degradation Disentanglement

arXiv:2505.12860 · cs.CV, eess.IV · Submitted 2025-05-19 · Read on arXiv

cs.CV, eess.IV

Submitted: 2025-05-19

Updated: 2025-07-13

Terminology

Computer Vision and Pattern Recognition — 10× in this paper
Ablation — 7× in this paper · explained in 1 episode
International Conference on Computer Vision — 6× in this paper
Accuracy — 5× in this paper · explained in 1 episode
Ablation study — 4× in this paper · explained in 1 episode
Fidelity — 4× in this paper · explained in 2 episodes
Generalizability — 4× in this paper · explained in 6 episodes
Regularization — 4× in this paper · explained in 3 episodes
Style Transfer — 4× in this paper
Ablation Studies — 3× in this paper · explained in 1 episode
Benchmark — 3× in this paper · explained in 2 episodes
Generative Model — 3× in this paper · explained in 2 episodes
Loss Function — 3× in this paper · explained in 2 episodes
Spatial Feature Transform — 3× in this paper
Adaptability — 2× in this paper · explained in 1 episode
Diffusion Posterior Sampling — 2× in this paper
Inhomogeneous Degradation Embedding Network — 2× in this paper
Inverse Problem — 2× in this paper · explained in 2 episodes
Representation Learning — 2× in this paper · explained in 2 episodes
Asian Conference on Computer Vision — 1× in this paper
CVF International Conference on Computer Vision Workshops — 1× in this paper
Contrastive Learning — 1× in this paper · explained in 5 episodes
Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
Inhomogeneous Degradation Aware — 1× in this paper
Normalizing Flow — 1× in this paper · explained in 3 episodes
Normalizing Flows — 1× in this paper · explained in 4 episodes
Transformer — 1× in this paper · explained in 2 episodes

Sources

End-to-end Optimized Image Compression

Terminology

Sources

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