Xu, Y.F.[Yi-Fei],
Xu, X.L.[Xiao-Long],
Gao, H.H.[Hong-Hao],
Xiao, F.[Fu],
SGDM: An Adaptive Style-Guided Diffusion Model for Personalized Text
to Image Generation,
MultMed(26), 2024, pp. 9804-9813.
IEEE DOI
2410
Feature extraction, Adaptation models, Image synthesis,
Computational modeling, Training, Task analysis, Noise reduction,
image style similarity assessment
BibRef
Wang, Z.C.[Zhi-Cai],
Li, O.X.[Ou-Xiang],
Wang, T.[Tan],
Wei, L.H.[Long-Hui],
Hao, Y.B.[Yan-Bin],
Wang, X.[Xiang],
Tian, Q.[Qi],
Prior Preserved Text-to-Image Personalization Without Image
Regularization,
CirSysVideo(35), No. 2, February 2025, pp. 1318-1330.
IEEE DOI
2502
Dogs, Semantics, Visualization, Diffusion models, Text to image,
Training, Noise reduction, Reliability, dreambooth
BibRef
Zhao, R.[Ruoyu],
Zhu, M.R.[Ming-Rui],
Dong, S.Y.[Shi-Yin],
Cheng, D.[De],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
CatVersion: Concatenating Embeddings for Diffusion-Based
Text-to-Image Personalization,
CirSysVideo(35), No. 6, June 2025, pp. 6047-6058.
IEEE DOI
2506
Diffusion models, Image synthesis, Dogs, Text to image,
Image restoration, Training, Noise reduction, few-shot learning
BibRef
Zhang, H.W.[Huai-Wen],
Wu, T.[Tianci],
Wei, Y.W.[Yin-Wei],
Multi-View User Preference Modeling for Personalized Text-to-Image
Generation,
MultMed(27), 2025, pp. 3082-3091.
IEEE DOI
2506
Adaptation models, User preference, Text to image,
Large language models, Training, Analytical models
BibRef
Chen, H.B.[Hai-Bo],
Zuo, Z.W.[Zhi-Wen],
Zhao, L.[Lei],
Li, J.[Jun],
Yang, J.[Jian],
ConceptCraft: One-Shot Personalized Text-to-Image Generation via
Object-Background Disentanglement,
CirSysVideo(36), No. 1, January 2026, pp. 133-146.
IEEE DOI
2602
Text to image, Diffusion models, Training, Object recognition,
Image synthesis, Videos, Visualization, Tuning,
identifier regularization scheme
BibRef
Wang, X.R.[Xie-Rui],
Lei, B.H.[Bo-Han],
Xu, X.Y.[Xiao-Yin],
Wu, F.[Fei],
Zhang, M.[Min],
Rethinking Personalized T2I Diffusion Models from the Perspective of
Redundancy,
IJCV(134), No. 1, January 2026, pp. 203.
Springer DOI
2604
BibRef
Aiello, E.[Emanuele],
Michieli, U.[Umberto],
Valsesia, D.[Diego],
Ozay, M.[Mete],
Magli, E.[Enrico],
DreamCache: Finetuning-Free Lightweight Personalized Image Generation
via Feature Caching,
CVPR25(12480-12489)
IEEE DOI
2508
Training, Adaptation models, Costs, Image synthesis,
Face recognition, Computational modeling, Text to image, caching
BibRef
Xie, C.[Cong],
Zou, H.[Han],
Yu, R.Q.[Rui-Qi],
Zhang, Y.[Yan],
Zhan, Z.[Zhenpeng],
SerialGen: Personalized Image Generation by First Standardization
Then Personalization,
CVPR25(2847-2856)
IEEE DOI
2508
Analytical models, Image synthesis, Standardization,
Controllability, personalized image generation, diffusion model,
text to image generation
BibRef
Guo, Z.[Zirun],
Jin, T.[Tao],
ConceptGuard: Continual Personalized Text-to-Image Generation with
Forgetting and Confusion Mitigation,
CVPR25(2945-2954)
IEEE DOI
2508
Prevention and mitigation, Text to image, diffusion,
personalization, continual learning, image generation
BibRef
Marjit, S.[Shyam],
Singh, H.[Harshit],
Mathur, N.[Nityanand],
Paul, S.[Sayak],
Yu, C.M.[Chia-Mu],
Chen, P.Y.[Pin-Yu],
DiffuseKronA: A Parameter Efficient Fine-tuning Method for
Personalized Diffusion Models,
WACV25(3529-3538)
IEEE DOI
2505
Training, Adaptation models, Visualization, Sensitivity,
Image synthesis, Image color analysis, Text to image, Stability analysis
BibRef
He, X.Z.[Xing-Zhe],
Cao, Z.W.[Zhi-Wen],
Kolkin, N.[Nicholas],
Yu, L.[Lantao],
Wan, K.[Kun],
Rhodin, H.[Helge],
Kalarot, R.[Ratheesh],
A Data Perspective on Enhanced Identity Preservation for Diffusion
Personalization,
WACV25(3782-3791)
IEEE DOI
2505
Training, Image quality, Visualization, Image color analysis,
Natural languages, Memory management, Text to image, generative model
BibRef
Ram, S.[Shwetha],
Neiman, T.[Tal],
Feng, Q.L.[Qian-Li],
Stuart, A.[Andrew],
Tran, S.[Son],
Chilimbi, T.[Trishul],
DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image
Diffusion Models,
WACV25(3614-3623)
IEEE DOI
2505
Image synthesis, Text to image, Diffusion models, Image reconstruction
BibRef
Salehi, S.[Sogand],
Shafiei, M.[Mahdi],
Yeo, T.[Teresa],
Bachmann, R.[Roman],
Zamir, A.[Amir],
Viper: Visual Personalization of Generative Models via Individual
Preference Learning,
ECCV24(LXXIV: 391-406).
Springer DOI
2412
Code:
WWW Link.
BibRef
Wu, Y.[Yi],
Li, Z.Q.[Zi-Qiang],
Zheng, H.L.[He-Liang],
Wang, C.Y.[Chao-Yue],
Li, B.[Bin],
Infinite-ID: Identity-preserved Personalization via ID-Semantics
Decoupling Paradigm,
ECCV24(VIII: 279-296).
Springer DOI
2412
BibRef
Kong, Z.[Zhe],
Zhang, Y.[Yong],
Yang, T.Y.[Tian-Yu],
Wang, T.[Tao],
Zhang, K.H.[Kai-Hao],
Wu, B.[Bizhu],
Chen, G.Y.[Guan-Ying],
Liu, W.[Wei],
Luo, W.H.[Wen-Han],
OMG: Occlusion-friendly Personalized Multi-concept Generation in
Diffusion Models,
ECCV24(XXXI: 253-270).
Springer DOI
2412
BibRef
Motamed, S.[Saman],
Paudel, D.P.[Danda Pani],
Van Gool, L.J.[Luc J.],
Lego: Learning to Disentangle and Invert Personalized Concepts Beyond
Object Appearance in Text-to-image Diffusion Models,
ECCV24(XV: 116-133).
Springer DOI
2412
BibRef
Wei, Y.X.[Yu-Xiang],
Ji, Z.L.[Zhi-Ling],
Bai, J.F.[Jin-Feng],
Zhang, H.Z.[Hong-Zhi],
Zhang, L.[Lei],
Zuo, W.M.[Wang-Meng],
Masterweaver: Taming Editability and Face Identity for Personalized
Text-to-image Generation,
ECCV24(LI: 252-271).
Springer DOI
2412
BibRef
Wei, F.[Fanyue],
Zeng, W.[Wei],
Li, Z.Y.[Zhen-Yang],
Yin, D.W.[Da-Wei],
Duan, L.X.[Li-Xin],
Li, W.[Wen],
Powerful and Flexible: Personalized Text-to-image Generation via
Reinforcement Learning,
ECCV24(XXVII: 394-410).
Springer DOI
2412
BibRef
Gal, R.[Rinon],
Lichter, O.[Or],
Richardson, E.[Elad],
Patashnik, O.[Or],
Bermano, A.H.[Amit H.],
Chechik, G.[Gal],
Cohen-Or, D.[Daniel],
LCM-Lookahead for Encoder-based Text-to-image Personalization,
ECCV24(XIV: 322-340).
Springer DOI
2412
BibRef
Wu, Y.[You],
Liu, K.[Kean],
Mi, X.Y.[Xiao-Yue],
Tang, F.[Fan],
Cao, J.[Juan],
Li, J.T.[Jin-Tao],
U-VAP: User-specified Visual Appearance Personalization via Decoupled
Self Augmentation,
CVPR24(9482-9491)
IEEE DOI Code:
WWW Link.
2410
Visualization, Semantics, Refining, Text to image,
Controllability
BibRef
Zhang, Y.M.[Yi-Ming],
Xing, Z.[Zhening],
Zeng, Y.H.[Yan-Hong],
Fang, Y.Q.[You-Qing],
Chen, K.[Kai],
PIA: Your Personalized Image Animator via Plug-and-Play Modules in
Text-to-Image Models,
CVPR24(7747-7756)
IEEE DOI
2410
Text to image, Benchmark testing, Animation, Controllability,
Tuning
BibRef
Chen, Z.J.[Zi-Jie],
Zhang, L.C.[Li-Chao],
Weng, F.S.[Fang-Sheng],
Pan, L.[Lili],
Lan, Z.Z.[Zhen-Zhong],
Tailored Visions: Enhancing Text-to-Image Generation with
Personalized Prompt Rewriting,
CVPR24(7727-7736)
IEEE DOI Code:
WWW Link.
2410
Visualization, Codes, Text to image
BibRef
Ruiz, N.[Nataniel],
Li, Y.Z.[Yuan-Zhen],
Jampani, V.[Varun],
Wei, W.[Wei],
Hou, T.B.[Ting-Bo],
Pritch, Y.[Yael],
Wadhwa, N.[Neal],
Rubinstein, M.[Michael],
Aberman, K.[Kfir],
HyperDreamBooth: HyperNetworks for Fast Personalization of
Text-to-Image Models,
CVPR24(6527-6536)
IEEE DOI
2410
Generative AI, Face recognition, Semantics, Memory management,
Text to image, Graphics processing units, diffusion models,
subject driven personalization
BibRef
Zhang, Y.B.[Yan-Bing],
Yang, M.P.[Meng-Ping],
Zhou, Q.[Qin],
Wang, Z.[Zhe],
Attention Calibration for Disentangled Text-to-Image Personalization,
CVPR24(4764-4774)
IEEE DOI
2410
Visualization, Solid modeling, Image synthesis, Pipelines,
Text to image, Text-to-image, Personalization, Attention Calibration
BibRef
Shi, J.[Jing],
Xiong, W.[Wei],
Lin, Z.[Zhe],
Jung, H.J.[Hyun Joon],
InstantBooth: Personalized Text-to-Image Generation without Test-Time
Finetuning,
CVPR24(8543-8552)
IEEE DOI Code:
WWW Link.
2410
Image quality, Adaptation models, Technological innovation,
Image synthesis, Scalability, Text to image, image generation
BibRef
Nam, J.[Jisu],
Kim, H.[Heesu],
Lee, D.[DongJae],
Jin, S.[Siyoon],
Kim, S.[Seungryong],
Chang, S.[Seunggyu],
DreamMatcher: Appearance Matching Self-Attention for
Semantically-Consistent Text-to-Image Personalization,
CVPR24(8100-8110)
IEEE DOI
2410
Visualization, Computational modeling, Semantics, Noise reduction,
Text to image, Diffusion models, Diffusion Models,
Semantic Correspondence
BibRef
Ham, C.[Cusuh],
Fisher, M.[Matthew],
Hays, J.[James],
Kolkin, N.[Nicholas],
Liu, Y.C.[Yu-Chen],
Zhang, R.[Richard],
Hinz, T.[Tobias],
Personalized Residuals for Concept-Driven Text-to-Image Generation,
CVPR24(8186-8195)
IEEE DOI
2410
Training, Measurement, Computational modeling, Text to image,
Graphics processing units, Diffusion models, personalization,
diffusion models
BibRef
Zeng, Y.[Yu],
Patel, V.M.[Vishal M.],
Wang, H.C.[Hao-Chen],
Huang, X.[Xun],
Wang, T.C.[Ting-Chun],
Liu, M.Y.[Ming-Yu],
Balaji, Y.[Yogesh],
JeDi: Joint-Image Diffusion Models for Finetuning-Free Personalized
Text-to-Image Generation,
CVPR24(6786-6795)
IEEE DOI
2410
Adaptation models, Computational modeling, Text to image,
Benchmark testing, Diffusion models, image generation
BibRef
Kim, J.[Jimyeong],
Park, J.[Jungwon],
Rhee, W.[Wonjong],
Selectively Informative Description can Reduce Undesired Embedding
Entanglements in Text-to-Image Personalization,
CVPR24(8312-8322)
IEEE DOI
2410
Reflection, Text-to-Image Generation, Text-to-Image Diffusion,
Text-to-image Personalization
BibRef
Liu, H.[Hanwen],
Sun, Z.C.[Zhi-Cheng],
Mu, Y.D.[Ya-Dong],
Countering Personalized Text-to-Image Generation with Influence
Watermarks,
CVPR24(12257-12267)
IEEE DOI
2410
Training, Visualization, Computational modeling, Semantics, Noise,
Text to image, Watermarking, diffusion models, watermarks
BibRef
Le, T.V.[Thanh Van],
Phung, H.[Hao],
Nguyen, T.H.[Thuan Hoang],
Dao, Q.[Quan],
Tran, N.N.[Ngoc N.],
Tran, A.[Anh],
Anti-DreamBooth: Protecting users from personalized text-to-image
synthesis,
ICCV23(2116-2127)
IEEE DOI Code:
WWW Link.
2401
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Text to Image with Generative Adversarial Network .