Perceptually Regularized Diffusion Model for Image Super-Resolution

arXiv:2609.02016 · eess.IV, cs.CV, cs.LG · Submitted 2026-09-02 · Read on arXiv

eess.IV, cs.CV, cs.LG

Submitted: 2026-09-02

Updated: 2026-09-02

Code: https://github.com/nvlabs/ffhq-dataset

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Regularization — 38× in this paper · explained in 3 episodes
• Diffusion Model — 21× in this paper · explained in 8 episodes
• Diffusion Models — 12× in this paper · explained in 6 episodes
• Fidelity — 12× in this paper · explained in 2 episodes
• Diffusion Process — 7× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Inverse Problem — 4× in this paper · explained in 2 episodes
• Denoising Diffusion Probabilistic Model — 3× in this paper
• Hallucination — 2× in this paper · explained in 3 episodes
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Domain Shift — 1× in this paper · explained in 4 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Gradient Flow — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Normalizing Flow — 1× in this paper · explained in 3 episodes
• Normalizing Flows — 1× in this paper · explained in 4 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes
• Visual Geometry Group — 1× in this paper

Sources

• Stabilizing Generative Adversarial Networks: A Survey

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