Domain-adaptive Zero-Shot Image Enhancement via Locality-Constrained Diffusion Guidance

arXiv:2609.35289 · cs.CV · Submitted 2026-09-28 · Read on arXiv

cs.CV

Submitted: 2026-09-28

Updated: 2026-09-28

Code: https://github.com/xinntao/facexlib

Terminology

• Diffusion Model — 43× in this paper · explained in 8 episodes
• Diffusion Models — 28× in this paper · explained in 6 episodes
• Domain Shift — 17× in this paper · explained in 4 episodes
• Alignment — 12× in this paper · explained in 1 episode
• Ablation — 11× in this paper · explained in 1 episode
• Adaptation — 9× in this paper · explained in 1 episode
• Ablation study — 8× in this paper · explained in 1 episode
• Diffusion Process — 8× in this paper · explained in 2 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Domain Adaptation — 6× in this paper · explained in 5 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Generative Model — 4× in this paper · explained in 2 episodes
• Distribution Shift — 3× in this paper · explained in 6 episodes
• Fidelity — 3× in this paper · explained in 2 episodes
• Inverse Problem — 3× in this paper · explained in 2 episodes
• Score Function — 3× in this paper · explained in 4 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 2 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Latent Space — 2× in this paper · explained in 7 episodes
• Representation Learning — 2× in this paper · explained in 2 episodes
• Adaptive Sampling — 1× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 1× in this paper
• Current Generative Adversarial Networks — 1× in this paper
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• International Conference on Learning Representations — 1× in this paper
• Intrinsic Dimension — 1× in this paper · explained in 2 episodes
• Nash Equilibrium — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Hierarchical Text-Conditional Image Generation with CLIP Latents
• Towards Unsupervised Blind Face Restoration using Diffusion Prior

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