Composed Image Retrieval

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2 papers in the last four weeks, down 78% on the four weeks before. 0.0% of all new papers.

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From Transformation to Target State: Rethinking Query Representation for Zero-Shot Composed Image Retrieval
Oct 5, 2026Yihe Zhao, Songhe FengCross-Modal Alignment Composed Image Retrieval
School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100044, China.
Preserve-and-Compose Training for Composed Image Retrieval
Sep 25, 2026Sehyun KwonComposed Image Retrieval Compositional Representation Learning
Hanyang University ERICA
Graded-Relevance Composed Multimodal Retrieval for E-commerce Visual Search at Scale
Sep 21, 2026Anubhav Gupta, Hrushikesh Mohapatra, Prijith Chandra +6Information Retrieval Visual Search
Walmart Global Tech Bangalore, India · Walmart Global Tech Sunnyvale, United States
CORE: Improving Compositional Reasoning in MLLM Embedding via Reranker Distillation
Sep 3, 2026Tingyu Song, Mingxin Li, Yanzhao Zhang +5Multimodal Embedding Cross-Modal Retrieval
CASIA · Alibaba Group · University of Chinese Academy of Sciences +1
AutoConcept: Training-Free Concept-Guided Reranking for Metadata-Available Composed Image Retrieval
Sep 1, 2026Tianyu Wang, Tianjiao WuMultimodal Reranking Image Retrieval
School of Computer Science and Technology, Soochow University, Suzhou, China · INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON, Lyon, France
Sketch2Inspire: Structure-Sensitive Evaluation for Product Retrieval
Aug 29, 2026Ge KongImage Retrieval IR Evaluation
Beihang University
Weaving Visual Narratives: Agentic Image Bundle Composition Beyond Atomic Visual Matching
Aug 27, 2026Rong Shan, Tianyi Xu, Congmin Zheng +9Composed Image Retrieval Multimodal Search Agents
Shanghai Jiao Tong University · Shanghai Innovation Institute · OPPO
MulVec: Fine-Grained Role-Aware Matching for Training-Free Zero-Shot Composed Image Retrieval
Aug 26, 2026Zihao Zhang, Dayan Wu, Xinze Liu +6Composed Image Retrieval Fine-Grained Image Retrieval
Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China · Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD 21218, USA
Training-Free Pseudo-Fusion for Composed Image Retrieval with Diffusion Models and Multimodal Large Language Models
Aug 24, 2026Fan Xu, Luis A. LeivaComposed Image Retrieval
Department of Computer Science University of Luxembourg
Learning Sample-wise Rank-aware Interpolation Weights for Composed Visual Data Retrieval
Aug 23, 2026Boseung Jeong, Taegyu Park, Donghyeon Kwon +2Composed Image Retrieval Composed Video Retrieval
AI Center, Samsung Electronics, Republic of Korea · Dept. of CSE, POSTECH, Republic of Korea · Dept. of AI, Ajou University, Republic of Korea +1
EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking
Aug 21, 2026Enjun Du, Siyi Liu, Zirong Chen +8Multimodal Reranking Multimodal IR
Composed Historical Image Retrieval by Modeling Temporal Representations
Aug 19, 2026Adrià Molina Rodríguez, Oriol Ramos Terrades, Josep Lladós CanetRepresentation Learning Image Retrieval
Learning visual representations for compositional analysis of artworks and photographs
Aug 6, 2026Fatemeh Behrad, Tinne Tuytelaars, Johan WagemansVisual Representation Learning Compositional Representation Learning
KU Leuven University Belgium
CoCo-IR: Contextual Composed Image Retrieval
Aug 5, 2026Shengcao Cao, Tanmaya Shekhar Dabral, Zhongli Ding +6Image Retrieval Composed Image Retrieval
University of Illinois Urbana-Champaign · Google DeepMind · OpenAI. Work done at Google DeepMind.
FiRE: Enhancing MLLMs with Fine-Grained Context Learning for Complex Image Retrieval
Jul 30, 2026Bohan Hou, Haoqiang Lin, Xuemeng Song +4Fine-Grained Image Retrieval Multimodal Large Language Models
Shandong University Qingdao, Shandong, China · City University of Hong Kong Hong kong, China · Harbin Institute of Technology (Shenzhen) Shenzhen, Guangdong, China +2
Towards Vision-Free CIR: Attribute-Augmented Scoring and LLM-Based Reranking for Zero-Shot Composed Image Retrieval
Jul 14, 2026Ryotaro Shimada, Yu-Chieh Lin, Yuji Nozawa +3Composed Image Retrieval
The University of Tokyo · Kioxia Corporation
DiCE-CIR: Direct Composition Learning for Efficient Zero-Shot Composed Image Retrieval
Jul 6, 2026Gwang-Ho Na, Ho-Joong Kim, Seong-Whan LeeCross-Modal Alignment Compositional Representation Learning
Department of Artificial Intelligence, Korea University, Anam-dong, Seongbuk-ku, Seoul 02841, Korea
FlowCIR: Semantic Transport via Flow Matching for Zero-Shot Composed Image Retrieval
Jul 2, 2026Zhenqi He, Ziqi Jiang, Yuanpei Liu +3Vision-Language Models Composed Image Retrieval
The Hong Kong University of Science and Technology, Hong Kong SAR · The University of Hong Kong, Hong Kong SAR
Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval
Jul 1, 2026Jingjing Zhang, Lei Zhang, Zheren Fu +1Representation Learning Compositional Representation Learning
University of Science and Technology of China, Hefei, China
Thinking Before Retrieving: Robust Zero-Shot Composed Image Retrieval via Strategic Planning and Self-Criticism
Jun 30, 2026Gunho Jung, Jeong-Woo Park, Seon Bin Kim +1Image Retrieval Composed Image Retrieval
Department of Artificial Intelligence, Korea University, Seoul, 02841, Republic of Korea
Exploring Multi-Modal Large Language Models and Two-Stage Fine-Tuning for Fashion Image Retrieval
Jun 18, 2026Nguyen Cao Hoang, Hoang Bui Le, Nam Vo Hoang +1Multimodal Large Language Models Image-Text Retrieval
University of Science, VNU-HCM, Ho Chi Minh, Vietnam · Vietnam National University, Ho Chi Minh, Vietnam
Show, Don't Ask: Generative Visual Disambiguation for Composed Image Retrieval with Turn-Valid Coverage
Jun 17, 2026Amsisan Tran, Baogh Le, Tuan Kiet Pham +1Conformal Prediction Visual Search
[cs.CV]
VietFashion: Benchmarking Sketch-Text Composed Image Retrieval for Cultural Outfits
Jun 11, 2026Hoang-Nguyen Cao, Le-Hoang Bui, Dinh-Khoi Vo +2Fine-Grained Image Retrieval Image-Text Retrieval
University of Science · Ho Chi Minh City, Vietnam · Vietnam National University
RankVR: Low-Rank Structure Perception and Value Recalibration for Robust Composed Image Retrieval
Jun 10, 2026Jiale Huang, Zixu Li, Zhiheng Fu +3Learning with Noisy Labels Composed Image Retrieval
Shandong University Jinan, Shandong, China
IMAGINE: Adaptive Schema-Imagery Enhanced Composition for Composed Video Retrieval
Jun 6, 2026Jiale Huang, Zixu Li, Zhiwei Chen +3Cross-Modal Alignment Cross-Modal Retrieval
Shandong University · Jinan, Shandong, China · Qilu University of Technology +1
Never Seen Before: Benchmarking Genuine Zero-Shot Composed Image Retrieval with Consistent Video-Sourced Datasets
Jun 5, 2026Zhenyu Yang, Zemin Du, Shengsheng Qian +1Composed Image Retrieval
COMBINER: Composed Image Retrieval Guided by Attribute-based Neighbor Relations
Jun 3, 2026Zixu Li, Yupeng Hu, Zhiwei Chen +3Cross-Modal Representation Learning Cross-Modal Alignment
School of Software, Shandong University, Jinan, 250100, China · School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen), Shenzhen, 518000, China · Department of Data Science, City University of Hong Kong, Hong Kong 523808, China +1
Mixed-Modality Dual Face-Hair Retrieval
Jun 2, 2026Quoc-Anh Bui-Huynh, Mai-Tuyen Lam, Dai-Anh-Tuan Nguyen +1Cross-Modal Alignment Cross-Modal Retrieval
Vietnam National University, Ho Chi Minh City, Vietnam · University of Information Technology, VNU-HCM, Ho Chi Minh City, Vietnam
CIRCLED: A Multi-turn CIR Dataset with Consistent Dialogues across Domains
May 26, 2026Tomohisa Takeda, Yu-Chieh Lin, Yuji Nozawa +3Image Retrieval Composed Image Retrieval
Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan · Kioxia Corporation, Tokyo, Japan
Resolving Ambiguity in Composed Image Retrieval via Calibrated Interaction
May 23, 2026Amsisan Tran, Baogh Le, Tuan Kiet Pham +1Conversational Search Image Retrieval
Amsisan Tran · Baogh Le · Tuan Kiet Pham +1

Oct 5, 2026, cs.CVJ/K move · Enter open · S save

From Transformation to Target State: Rethinking Query Representation for Zero-Shot Composed Image Retrieval

Yihe Zhao, Songhe Feng

School of Computer Science and Technology, Beijing Jiaotong University, Beijing, 100044, China.

Cross-Modal Alignment Composed Image Retrieval

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Composed image retrieval (CIR) aims to retrieve a desired target image from a query consisting of a reference image and a modification text. This task exhibits an unusual representational asymmetry: the modification text specifies a transition from the reference state, whereas retrieval candidates depict completed target states. This creates a representation mismatch for zero-shot methods that query pretrained vision-language spaces directly with transformation-oriented language. We study this mismatch and reformulate zero-shot composed image retrieval as target-state reconstruction followed by retrieval. We instantiate this formulation with ASAP-CIR, a training-free framework that reconstructs a static target representation using a frozen multimodal large language model (MLLM). The representation combines multiple holistic descriptions with a variable set of importance-weighted atomic semantics, thereby preserving both overall target identity and fine-grained visual constraints. Retrieval then integrates holistic state alignment, atomic constraint grounding, and calibrated target-state evidence aggregation. A controlled text-only diagnostic shows that target-side static query formulations achieve more reliable retrieval than dynamic composed query formulations, particularly when source-state semantics must be suppressed or transformed. Experiments on FashionIQ, CIRR, and CIRCO further characterize the effectiveness and limitations of this representation principle, with the clearest gains on the multi-target CIRCO benchmark. These results show that how composed intent is represented before retrieval is a consequential design choice, distinct from the choice of retrieval backbone itself.