Subject-Driven Image Generation

Overview

These methods condition diffusion models and related generators on reference images so a person, object, or character remains recognizable in new poses, scenes, and styles. Common approaches include fine-tuning with LoRA or textual inversion, reference-image adapters, and training-free attention or feature routing; multi-subject systems also use masks, layouts, and separate identity pathways. Benchmarks increasingly test attribute binding, pose control, and identity retention as scenes grow more complex. A central tension is balancing subject fidelity with prompt alignment and visual diversity, while evaluation remains difficult because global similarity scores can miss identity swaps or collapse.

Latest papers

CardsList

61 papers7 papers in the last four weeks, up 133% on the four weeks before. 0.0% of all new papers.

  1. FrameForge: Harnessing Priors of Video Foundation Models for Unified Image Generation

    Oct 27, 2026Yijing Lin, Zhendong Mao, Mengqi Huang +2Conditional Image GenerationSubject-Driven Image Generation

  2. Kingfisher: Fast Personalized Visual Autoregressive Generation via Scale-Aware Prompt-Conditioned Scale Decomposition

    Oct 16, 2026Dinh-Khoi Vo, Akihiro Sugimoto, Minh-Triet Tran +1Image GenerationSubject-Driven Image Generation

  3. Cross-Person Identity Change Under Source-Coupled Multi-Human Generation: A Controlled UniPortrait Study

    Oct 15, 2026Edrees Al-Edreesi, Ghaleb Al-Gaphari, Muneer Alsurori +2Identity-Preserving Image GenerationSubject-Driven Image Generation

  4. Disentangling Dual Image References in Frequency Aware Diffusion Models for Personalized Generation

    Oct 6, 2026Haipeng Liu, Yang Wang, Meng WangSubject-Driven Image GenerationConditional Image Generation

  5. CLASP: Continual Low-rank Adapters for Spatially Placed Concepts from One Hypernetwork

    Oct 1, 2026Wojciech Gromski, Patryk Krukowski, Jan Miksa +2Subject-Driven Image GenerationT2I Generation

  6. ReGain: Restoring Subject Fidelity in Personalization on Synthetic Images

    Sep 30, 2026Shubhang Bhatnagar, Ishan Bhatnagar, Viraj Shah +1Diffusion Model GuidanceClassifier-Free Guidance

  7. UFO: Chain-of-Evaluation for Omni-Condition Alignment in Multi-Modal Image Generation

    Sep 11, 2026Danning Zhang, Yijing Lin, Shuhan Zhuang +4Subject-Driven Image GenerationMultimodal Generation

  8. RefDiT: Local Attribute Guidance in Reference-Based Image Generation

    Sep 4, 2026Rameshwar Mishra, Srikrishna Karanam, A V SubramanyamImage GenerationControllable Image Generation

  9. WithEveryone: Unified Planning and Identity Grounding for Group Image Generation

    Aug 20, 2026Hengyuan Xu, Qixun Wang, Yiji Cheng +5Subject-Driven Image GenerationImage Generation

  10. CRAFT: Constrained Reward via Attention Fine-Tuning for Subject Personalization without Composed Targets

    Aug 14, 2026Jihun Park, Kyoungmin Lee, Jongmin Gim +6Subject-Driven Image GenerationIdentity-Preserving Image Generation

  11. In-Loop Model Adaptation with Coupled Latent-Noise Guidance for High-Fidelity Subject-Driven Text-to-Image Generation

    Aug 10, 2026Yushun Tang, Weiming Chen, Siyi Liu +3Diffusion Model GuidanceDiffusion Model Adaptation

  12. CopyCat: Improving Fine-Grained Subject Consistency in Subject-to-Image Models within Seconds

    Aug 1, 2026Peng Zheng, Ruiqi Liu, Rui Ma +1Diffusion TransformerSubject-Driven Image Generation

  13. Latent-Identity Tuning in Text-to-Image Personalization Models

    Jul 13, 2026Daniel Garibi, Ronen Kamenetsky, Hadar Averbuch-Elor +2Subject-Driven Image GenerationIdentity-Preserving Image Generation

  14. LILAC: Layer-Wise Independent LoRAs and Cascaded Conditioning for Multi-Concept Customization of Diffusion Models

    Jul 6, 2026Marian Lupascu, Sebastian Ripa, Mihai Trascau +2Subject-Driven Image GenerationCompositional Image Generation

  15. MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation

    Jul 1, 2026Zhihan Chen, Yuhuan Zhao, Yijie Zhu +7Subject-Driven Image GenerationIdentity-Preserving Image Generation

  16. Decoupled Guidance: Disentangling Subject and Context Pathways in Text-to-Image Personalization

    Jul 1, 2026Seongmin Kim, Kyucheol Shin, Heesun Jung +2Diffusion Model GuidanceSubject-Driven Image Generation

  17. IREU: Identity-Related Encoder-Only Unlearning for Customized Portrait Generation

    Jun 29, 2026Chaoyi Shi, Shanshan Zhang, Jian YangSubject-Driven Image GenerationMachine Unlearning

  18. RAVA: Retrieval-Augmented Viewpoint Alignment for Subject-Driven Image Generation

    Jun 16, 2026Qiwei Yan, Zhiqiang Yuan, Chongyang Li +4Subject-Driven Image GenerationImage Generation

  19. Redirecting the Flow: Image Customization through Attention Distribution Shift

    Jun 15, 2026Jie Li, Suorong Yang, Jian Zhao +1Diffusion Model GuidanceSubject-Driven Image Generation

  20. Pose-ICL: 3D-Aware In-Context Learning for Pose-Controllable Subject Customization

    Jun 9, 2026Xuan Han, Yihao Zhao, Mingyu YouSubject-Driven Image GenerationIn-Context Learning

  21. Training-Free Multi-Concept LoRA Composition with Prompt-Aware Weighting

    Jun 2, 2026Georgios Tsoumplekas, Stella Bounareli, Vasileios ArgyriouSubject-Driven Image GenerationCompositional T2I Generation

  22. Equilibrated Diffusion: Frequency-aware Textual Embedding for Equilibrated Image Customization

    Jun 1, 2026Liyuan Ma, Xueji Fang, Guo-Jun QiDiffusion Model GuidanceSubject-Driven Image Generation

  23. Squeezing Capacity from Multimodal Large Language Models for Subject-driven Generation

    May 25, 2026Shuhong Zheng, Aashish Kumar Misraa, Yu-Teng Li +2Subject-Driven Image GenerationIdentity-Preserving Image Generation