Copertina

Memory-Efficient Personalization of Text-to-Image Diffusion Models via Selective Optimization Strategies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Choi, Seokeon, Park, Sunghyun, Park, Hyoungwoo, Kim, Jeongho, Yun, Sungrack
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Steering Guidance for Personalized Text-to-Image Diffusion Models
di: Park, Sunghyun, et al.
Pubblicazione: (2025)

From Wardrobe to Canvas: Wardrobe Polyptych LoRA for Part-level Controllable Human Image Generation
di: Kim, Jeongho, et al.
Pubblicazione: (2025)

Memory-Efficient Fine-Tuning Diffusion Transformers via Dynamic Patch Sampling and Block Skipping
di: Park, Sunghyun, et al.
Pubblicazione: (2026)

Hollowed Net for On-Device Personalization of Text-to-Image Diffusion Models
di: Cho, Wonguk, et al.
Pubblicazione: (2024)

Feature Diversification and Adaptation for Federated Domain Generalization
di: Yang, Seunghan, et al.
Pubblicazione: (2024)

ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints
di: Das, Debasmit, et al.
Pubblicazione: (2025)

MultiHuman-Testbench: Benchmarking Image Generation for Multiple Humans
di: Borse, Shubhankar, et al.
Pubblicazione: (2025)

Text-Aware Image Restoration with Diffusion Models
di: Min, Jaewon, et al.
Pubblicazione: (2025)

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer
di: Chung, Chaeyeon, et al.
Pubblicazione: (2024)

Directional Textual Inversion for Personalized Text-to-Image Generation
di: Kim, Kunhee, et al.
Pubblicazione: (2025)

Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning
di: Lee, Juntae, et al.
Pubblicazione: (2025)

EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation
di: Mun, Sunung, et al.
Pubblicazione: (2026)

Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
di: Moon, Saemi, et al.
Pubblicazione: (2024)

Adversarial Robustification via Text-to-Image Diffusion Models
di: Choi, Daewon, et al.
Pubblicazione: (2024)

Improving Text-based Person Search via Part-level Cross-modal Correspondence
di: Park, Jicheol, et al.
Pubblicazione: (2024)

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models
di: Ryu, Hyogon, et al.
Pubblicazione: (2025)

Performance Plateaus in Inference-Time Scaling for Text-to-Image Diffusion Without External Models
di: Choi, Changhyun, et al.
Pubblicazione: (2025)

Diffusion Model Compression for Image-to-Image Translation
di: Kim, Geonung, et al.
Pubblicazione: (2024)

PromptDresser: Improving the Quality and Controllability of Virtual Try-On via Generative Textual Prompt and Prompt-aware Mask
di: Kim, Jeongho, et al.
Pubblicazione: (2024)

Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
di: Hahm, Jaehoon, et al.
Pubblicazione: (2024)

Image-Guided Microstructure Optimization using Diffusion Models: Validated with Li-Mn-rich Cathode Precursors
di: Choi, Geunho, et al.
Pubblicazione: (2025)

Preserve and Personalize: Personalized Text-to-Image Diffusion Models without Distributional Drift
di: Kim, Gihoon, et al.
Pubblicazione: (2025)

HLQ: Fast and Efficient Backpropagation via Hadamard Low-rank Quantization
di: Kim, Seonggon, et al.
Pubblicazione: (2024)

Boosting Text-to-Image Diffusion Models via Core Token Attention-Based Seed Selection
di: Zhang, Yunzhe, et al.
Pubblicazione: (2026)

Probabilistic Language-Image Pre-Training
di: Chun, Sanghyuk, et al.
Pubblicazione: (2024)

One-Step Image Translation with Text-to-Image Models
di: Parmar, Gaurav, et al.
Pubblicazione: (2024)

Advanced Knowledge Transfer: Refined Feature Distillation for Zero-Shot Quantization in Edge Computing
di: Hong, Inpyo, et al.
Pubblicazione: (2024)

Memory-Efficient 3D Denoising Diffusion Models for Medical Image Processing
di: Bieder, Florentin, et al.
Pubblicazione: (2023)

Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models
di: Park, NaHyeon, et al.
Pubblicazione: (2025)

DreamBlend: Advancing Personalized Fine-tuning of Text-to-Image Diffusion Models
di: Ram, Shwetha, et al.
Pubblicazione: (2024)

Equivariant Latent Alignment via Flow Matching under Group Symmetries
di: Kim, Sunghyun, et al.
Pubblicazione: (2026)

Test-Time Alignment of Text-to-Image Diffusion Models via Null-Text Embedding Optimisation
di: Kim, Taehoon, et al.
Pubblicazione: (2025)

Regularization by Texts for Latent Diffusion Inverse Solvers
di: Kim, Jeongsol, et al.
Pubblicazione: (2023)

Interpreting Attention Heads for Image-to-Text Information Flow in Large Vision-Language Models
di: Kim, Jinyeong, et al.
Pubblicazione: (2025)

Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing
di: Nam, Hyelin, et al.
Pubblicazione: (2023)

Mean-field Chaos Diffusion Models
di: Park, Sungwoo, et al.
Pubblicazione: (2024)

Leveraging Programmatically Generated Synthetic Data for Differentially Private Diffusion Training
di: Choi, Yujin, et al.
Pubblicazione: (2024)

Expressive Text-to-Image Generation with Rich Text
di: Ge, Songwei, et al.
Pubblicazione: (2023)

VIPAMIN: Visual Prompt Initialization via Embedding Selection and Subspace Expansion
di: Park, Jaekyun, et al.
Pubblicazione: (2025)

Hiding and Recovering Knowledge in Text-to-Image Diffusion Models via Learnable Prompts
di: Bui, Anh, et al.
Pubblicazione: (2024)