Personalized Image Generation with Reasoning and Reflection

arXiv:2610.00737 · cs.CV, cs.AI · Submitted 2026-09-30 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-30

Updated: 2026-09-30

Terminology

• Personalization — 53× in this paper · explained in 2 episodes
• Benchmark — 31× in this paper · explained in 2 episodes
• Fidelity — 15× in this paper · explained in 2 episodes
• Alignment — 14× in this paper · explained in 1 episode
• Ablation — 10× in this paper · explained in 1 episode
• Generative AI — 5× in this paper · explained in 2 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Generative Recommendation — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Diffusion Model — 3× in this paper · explained in 8 episodes
• Diffusion Models — 3× in this paper · explained in 6 episodes
• Semantic Alignment — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• International Conference on World Wide Web — 1× in this paper
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Multimodal Reasoning — 1× in this paper · explained in 5 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Tokenization — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
• Personalized Image Editing in Text-to-Image Diffusion Models via Collaborative Direct Preference Optimization
• Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders
• LoRA: Low-Rank Adaptation of Large Language Models
• Interleaving Reasoning for Better Text-to-Image Generation
• Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
• LongLaMP: A Benchmark for Personalized Long-form Text Generation
• Personalized Language Modeling from Personalized Human Feedback
• Visual Instruction Tuning
• Deep Learning Recommendation Model for Personalization and Recommendation Systems
• Reasoning-Based Personalized Generation for Users with Sparse Data
• Direct Preference Optimization: Your Language Model is Secretly a Reward Model
• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
• LaMP: When Large Language Models Meet Personalization
• LAION-5B: An open large-scale dataset for training next generation image-text models
• Personalized Image Generation with Deep Generative Models: A Decade Survey
• Controllable Textual Inversion for Personalized Text-to-Image Generation

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