Zero-Shot Composed Image Retrieval (ZS-CIR)
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Benchmarks
CIRR
CIRCO
Fashion IQ
ImageNet-R
GeneCIS
ImageNet
MiniDomainNet
NICO++
PatternCom
FashionIQ
Most implemented
Semantic Editing Increment Benefits Zero-Shot Composed Image Retrieval
LDRE: LLM-based Divergent Reasoning and Ensemble for Zero-Shot Composed Image Retrieval
iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval
Zero-Shot Composed Image Retrieval with Textual Inversion
"This is my unicorn, Fluffy": Personalizing frozen vision-language representations
CoLLM: A Large Language Model for Composed Image Retrieval
Papers
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval
Existing Zero-Shot Composed Image Retrieval (ZS-CIR) methods typically train adapters that convert reference images into pseudo-text tokens, which are concatenated with the modifying text and processed by frozen text enc…
Image RetrievalLarge Language ModelMultimodal Large Language ModelRetrieval+2Multimodal Reasoning Agent for Zero-Shot Composed Image Retrieval
Zero-Shot Composed Image Retrieval (ZS-CIR) aims to retrieve target images given a compositional query, consisting of a reference image and a modifying text-without relying on annotated training data. Existing approaches…
Contrastive LearningImage RetrievalMultimodal ReasoningRetrieval+1CoLLM: A Large Language Model for Composed Image Retrieval
Composed Image Retrieval (CIR) is a complex task that aims to retrieve images based on a multimodal query. Typical training data consists of triplets containing a reference image, a textual description of desired modific…
Image RetrievalLanguage ModelingLanguage ModellingLarge Language Model+3Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval
Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks with a broad range of visual content manipulation intent across domain, scene, object, and attribute. The key challenge for ZS-CIR tasks is to modify a r…
AttributeImage RetrievalZero-Shot Composed Image Retrieval (ZS-CIR)ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective Reasoning
With the proliferation of images in online content, language-guided image retrieval (LGIR) has emerged as a research hotspot over the past decade, encompassing a variety of subtasks with diverse input forms. While the de…
Image RetrievalRetrievalZero-Shot Composed Image Retrieval (ZS-CIR)Data-Efficient Generalization for Zero-shot Composed Image Retrieval
Zero-shot Composed Image Retrieval (ZS-CIR) aims to retrieve the target image based on a reference image and a text description without requiring in-distribution triplets for training. One prevalent approach follows the …
Image RetrievalRetrievalZero-Shot Composed Image Retrieval (ZS-CIR)