Multi-Subject Image Generation

Latest papers

13 papers1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

Visual Jev Rewards: Reference-Bound Verification for Multi-Subject Image Generation
Oct 7, 2026Baoteng Li, Wenzhuo Wu, Kongming Liang +1Multi-Subject Image Generation Reward Modeling
School of Artificial Intelligence, Beijing University of Posts and Telecommunications1 · Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance2
MultiCompose: Multi-Concept Personalized Composition with Per-Subject Attribute Binding
Aug 4, 2026Ruirui Zhang, Zhengkai Zhao, Pan GaoImage Generation Compositional T2I Generation
Nanjing University of Aeronautics and Astronautics College of Computer Science and Technology Nanjing, Jiangsu, China · Nanjing University of Aeronautics and Astronautics College of Artificial Intelligence Nanjing, Jiangsu, China
MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation
Jul 1, 2026Zhihan Chen, Yuhuan Zhao, Yijie Zhu +7Subject-Driven Image Generation Identity-Preserving Image Generation
University of California, Los Angeles · University of Southern California · DeerLab LLC +5
CogCanvas: A Benchmark for Evaluating Multi-Subject Reference-Based Image Generation
Jun 14, 2026Long-Bao Nguyen, Quang-Khai Le, Tam V. Nguyen +2Compositional Image Generation Identity-Preserving Image Generation
University of Science, Ho Chi Minh City, Vietnam · Vietnam National University, Ho Chi Minh City, Vietnam · University of Dayton, Ohio, United States
EPIC: Efficient Predicate-Guided Inference-Time Control for Compositional Text-to-Image Generation
May 12, 2026Sunung Mun, Sunghyun Cho, Jungseul OkCompositional T2I Generation Controllable Image Generation
Graduate School of Artificial Intelligence, POSTECH · Department of Computer Science & Engineering, POSTECH
ASTRA: Enhancing Multi-Subject Generation with Retrieval-Augmented Pose Guidance and Disentangled Position Embedding
Apr 15, 2026Tianze Xia, Zijian Ning, Zonglin Zhao +1Multi-Subject Image Generation Image Generation
Huazhong University of Science and Technology
Multimodal Large Language Models for Multi-Subject In-Context Image Generation
Apr 8, 2026Yucheng Zhou, Dubing Chen, Huan Zheng +1Multi-Subject Image Generation Image Generation
SKL-IOTSC, CIS, University of Macau
When Identities Collapse: A Stress-Test Benchmark for Multi-Subject Personalization
Mar 27, 2026Zhihan Chen, Yuhuan Zhao, Yijie Zhu +1Multi-Subject Image Generation Subject-Driven Image Generation
University of California, Los Angeles · University of Southern California · DeerLab LLC +1
MultiBind: A Benchmark for Attribute Misbinding in Multi-Subject Generation
Mar 23, 2026Wenqing Tian, Hanyi Mao, Zhaocheng Liu +4Multi-Subject Image Generation Image Generation
New Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences · School of Artificial Intelligence, University of Chinese Academy of Sciences · ByteDance +1
IdGlow: Dynamic Identity Modulation for Multi-Subject Generation
Feb 28, 2026Honghao Cai, Xiangyuan Wang, Jing Li +15Multi-Subject Image Generation Image Generation
Xiaohongshu Inc. · The Chinese University of Hong Kong, Shenzhen · Peking University +1
Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation
Feb 3, 2026Yijia Xu, Zihao Wang, Haokun Gui +1Subject-Driven Image Generation Image Generation
Peking University · Hong Kong University of Science and Technology
CanvasComposer: Personalized Group Photo Generation via a Multi-Reference Canvas
Oct 23, 2025Gordon Guocheng Qian, Ruihang Zhang, Tsai-Shien Chen +11Subject-Driven Image Generation Image Generation
Snap Inc., USA · University of Toronto, Canada · University of California, Merced, USA +1
ISAC: Training-Free Instance-to-Semantic Attention Control for Multi-Instance Generation
May 27, 2025Sanghyun Jo, Wooyeol Lee, Ziseok Lee +3Controllable Image Generation T2I Generation
OGQ, Seoul, Korea · Seoul National University, Seoul, Korea

Oct 7, 2026J/K move · Enter open · S save

Visual Jev Rewards: Reference-Bound Verification for Multi-Subject Image Generation

Baoteng Li, Wenzhuo Wu, Kongming Liang, Zhanyu Ma

School of Artificial Intelligence, Beijing University of Posts and Telecommunications1 · Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance2

Multi-Subject Image Generation Reward Modeling Image Generation Evaluation Image Generation RL for Image Generation Vision-Language Model-as-a-Judge

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Multi-subject image generation requires rewards that verify whether requested attributes, actions, and relations hold for the specified reference subjects. Subject presence alone does not establish that the correct subjects participate in a requested interaction. We present reference-bound Visual Jev rewards that turn these visual decisions into generator training signals. Each subject-related question receives a positive label only when the requested condition and the relevant reference identities hold jointly. We construct fixed questions offline, train a Qwen3.5-4B verifier with binary supervision, and directly read Yes probabilities from its language-model head. Their mean supplies a GRPO reward while retaining individual judgments for inspection. Using 200 MICo-150K training tasks and 30 updates, the framework raises a GPT-5.4 composite score from 41.78 to 52.50 on a manually selected 897-task MICo-Bench subset; direct 27B rewards yield 51.84. Each reward is tested in one GRPO run, and offline human evaluation does not establish a statistically significant advantage over direct scoring. The study provides an initial implementation and evaluation of Visual Jev as a reference-bound reward for multi-subject image generation.