[ICCV 2023] - Zero-shot Composed Image Retrieval with Textual Inversion
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
Official PyTorch implementation of the paper "CoVR: Learning Composed Video Retrieval from Web Video Captions".
Official Pytorch implementation of "CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion" (TMLR 2024)
[ICCV 2023] - Composed Image Retrieval on Common Objects in context (CIRCO) dataset
Official PyTorch implementation of the WACV 2025 Oral paper "Composed Image Retrieval for Training-FREE DOMain Conversion".
A multimodal image search engine built on the GME model, capable of handling diverse input types. Whether you're querying with text, images, or both, provides powerful and flexible image retrieval under arbitrary inputs. Perfect for research and demos.
[ACM MM 2024] Improving Composed Image Retrieval via Contrastive Learning with Scaling Positives and Negatives
[CVPR 2025] Official Pytorch implementation of "Learning with Noisy Triplet Correspondence for Composed Image Retrieval".
Add a description, image, and links to the composed-image-retrieval topic page so that developers can more easily learn about it.
To associate your repository with the composed-image-retrieval topic, visit your repo's landing page and select "manage topics."