Papers Personalized Image Generation
“Personalized Image Generation” 태그가 달린 논문 86편 · 필터 해제
Personalized Image Generation with Reasoning and Reflection
Personalized image generation has remained narrowly focused on conditional synthesis from curated visual exemplars, rather than capturing who a user is. In practice, however, a user's personal context is much richer, com…
Personalized Image GenerationScene GenerationCopyCat: Improving Fine-Grained Subject Consistency in Subject-to-Image Models within Seconds
Recent subject-to-image models have achieved impressive progress in personalized image generation, yet they still struggle to preserve fine-grained subject-specific details. A major reason is the lack of high-quality fin…
Personalized Image GenerationPIPBench: A Profile-Inclusive Framework for Personalized Image Generation Evaluation
Recent text-to-image models such as DALLE-3 excel at following diverse prompts yet remain blind to individual aesthetic preferences. We study personalized image generation, where models must align outputs with a user's i…
Personalized Image GenerationMIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation
Multi-subject personalized image generation requires the precise rendering of all requested reference identities and their specified interactions based on a guiding prompt. However, state-of-the-art models still struggle…
Personalized Image GenerationScaling Multi-Reference Image Generation with Dynamic Reward Optimization
While personalized image generation has achieved remarkable progress, multi-reference image generation (MRIG) remains a challenging task. Most existing benchmarks fail to adequately evaluate complex MRIG scenarios, hinde…
Personalized Image GenerationImage EditingEPIG: Emotion-Based Prompting for Personalised Image Generation
Text-to-image diffusion models have achieved impressive results in synthesizing high-quality images from natural language prompts. However, commonly used prompting strategies remain relatively generic, limiting the model…
Personalized Image GenerationBypassing Copyright Protection in Diffusion-based Customization via Two-Stage Latent Feature Optimization
With the growing concerns over copyright infringement in diffusion-based customization, adversarial attacks have emerged as a prominent defense strategy to prevent malicious content forgery in personalized image generati…
Personalized Image GenerationSwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion
Diffusion models have achieved remarkable success in high-quality image synthesis, sparking interest in image-guided generation tasks such as subject-driven image personalization. Despite their impressive personalization…
Personalized Image GenerationID-Sim: An Identity-Focused Similarity Metric
Humans have remarkable selective sensitivity to identities -- easily distinguishing between highly similar identities, even across significantly different contexts such as diverse viewpoints or lighting. Vision models ha…
Personalized Image GenerationZero-Shot Personalization of Objects via Textual Inversion
Recent advances in text-to-image diffusion models have substantially improved the quality of image customization, enabling the synthesis of highly realistic images. Despite this progress, achieving fast and efficient per…
Personalized Image GenerationNot All Layers Are Created Equal: Adaptive LoRA Ranks for Personalized Image Generation
Low Rank Adaptation (LoRA) is the de facto fine-tuning strategy to generate personalized images from pre-trained diffusion models. Choosing a good rank is extremely critical, since it trades off performance and memory co…
Personalized Image GenerationPremier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation
Text-to-image generation has advanced rapidly, yet it still struggles to capture the nuanced user preferences. Existing approaches typically rely on multimodal large language models to infer user preferences, but the der…
Personalized Image GenerationText-to-Image GenerationCRAFT-LoRA: Content-Style Personalization via Rank-Constrained Adaptation and Training-Free Fusion
Personalized image generation requires effectively balancing content fidelity with stylistic consistency when synthesizing images based on text and reference examples. Low-Rank Adaptation (LoRA) offers an efficient perso…
Personalized Image GenerationPersonalized Image Generation via Human-in-the-loop Bayesian Optimization
Imagine Alice has a specific image $x^\ast$ in her mind, say, the view of the street in which she grew up during her childhood. To generate that exact image, she guides a generative model with multiple rounds of promptin…
Personalized Image GenerationFaceSnap: Enhanced ID-fidelity Network for Tuning-free Portrait Customization
Benefiting from the significant advancements in text-to-image diffusion models, research in personalized image generation, particularly customized portrait generation, has also made great strides recently. However, exist…
Personalized Image GenerationPSR: Scaling Multi-Subject Personalized Image Generation with Pairwise Subject-Consistency Rewards
Personalized generation models for a single subject have demonstrated remarkable effectiveness, highlighting their significant potential. However, when extended to multiple subjects, existing models often exhibit degrade…
Personalized Image GenerationReinforcement LearningAr2Can: An Architect and an Artist Leveraging a Canvas for Multi-Human Generation
Despite recent advances in personalized image generation, existing models consistently fail to produce reliable multi-human scenes, often merging or losing facial identity. We present Ar2Can, a novel two-stage framework …
Personalized Image GenerationDeciphering Personalization: Towards Fine-Grained Explainability in Natural Language for Personalized Image Generation Models
Image generation models are usually personalized in practical uses in order to better meet the individual users' heterogeneous needs, but most personalized models lack explainability about how they are being personalized…
Personalized Image GenerationPSTF-AttControl: Per-Subject-Tuning-Free Personalized Image Generation with Controllable Face Attributes
Recent advancements in personalized image generation have significantly improved facial identity preservation, particularly in fields such as entertainment and social media. However, existing methods still struggle to ac…
Personalized Image GenerationFace RecognitionLayerComposer: Multi-Human Personalized Generation via Layered Canvas
Despite their impressive visual fidelity, existing personalized image generators lack interactive control over spatial composition and scale poorly to multiple humans. To address these limitations, we present LayerCompos…
Personalized Image Generation