Distribution-Calibrated Candidate Selection for Personalized Text-to-Image Generation

arXiv:2607.07173 · cs.CV · Submitted 2026-07-08 · Read on arXiv

cs.CV

Submitted: 2026-07-08

Updated: 2026-10-22

Code: https://github.com/cloneofsimo/lora

Terminology

• Adaptation — 44× in this paper · explained in 1 episode
• Personalization — 26× in this paper · explained in 2 episodes
• Consistency — 22× in this paper · explained in 3 episodes
• Diffusion Model — 13× in this paper · explained in 10 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Fine-Tuning — 9× in this paper · explained in 5 episodes
• Diffusion Models — 8× in this paper · explained in 9 episodes
• Redundancy — 5× in this paper · explained in 2 episodes
• Trace — 5× in this paper · explained in 2 episodes
• Effective Rank — 4× in this paper · explained in 2 episodes
• Embeddings — 3× in this paper · explained in 2 episodes
• Overfitting — 3× in this paper · explained in 2 episodes
• Robustness — 3× in this paper · explained in 6 episodes
• Training Objective — 3× in this paper · explained in 3 episodes
• Calibration — 2× in this paper · explained in 9 episodes
• Composition — 2× in this paper · explained in 2 episodes
• Feature Extraction — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Latent Diffusion Model — 2× in this paper · explained in 3 episodes
• Latent Diffusion Models — 2× in this paper · explained in 2 episodes
• Model-Agnostic — 2× in this paper · explained in 2 episodes
• Orthogonal Projection — 2× in this paper · explained in 2 episodes
• Absorb — 1× in this paper · explained in 1 episode
• Compositionality — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Decoder — 1× in this paper · explained in 2 episodes
• Entanglement — 1× in this paper · explained in 4 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Selection Bias — 1× in this paper · explained in 5 episodes

Sources

• High-Resolution Image Synthesis with Latent Diffusion Models
• SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
• An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
• Multi-Concept Customization of Text-to-Image Diffusion
• LoRA: Low-Rank Adaptation of Large Language Models
• SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
• PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
• Learning Transferable Visual Models From Natural Language Supervision
• DINOv2: Learning Robust Visual Features without Supervision
• The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

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