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This paper proposes a novel diffusion-based model, CompoDiff, for solving zero-shot Composed Image Retrieval (ZS-CIR) with latent diffusion.
Compositional learning of image-text query for image retrieval
Muhammad Umer Anwaar, Egor Labintcev, and Martin Kleinsteuber · 2006
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Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Microsoft coco captions: Data collection and evaluation server
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Decoupled weight decay regularization
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Attention is all you need
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Billion-scale similarity search with gpus
Jeff Johnson, Matthijs Douze, and Hervé Jégou · 2019
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Composing text and image for image retrieval-an empirical odyssey
Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, and James Hays · 2019
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Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu · 2020
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Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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Curlingnet: Compositional learning between images and text for fashion iq data
Youngjae Yu, Seunghwan Lee, Yuncheol Choi, and Gunhee Kim · 2020
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Probabilistic embeddings for cross-modal retrieval
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio De Rezende, Yannis Kalantidis, and Diane Larlus · 2021
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Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol · 2021
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Taming transformers for high-resolution image synthesis
Patrick Esser, Robin Rombach, and Bjorn Ommer · 2021
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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ViDT: An efficient and effective fully transformer-based object detector
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Opt: Open pre-trained transformer language models
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ediffi: Text-to-image diffusion models with an ensemble of expert denoisers
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Conditioned and composed image retrieval combining and partially fine-tuning clip-based features
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Composed image retrieval with text feedback via multi-grained uncertainty regularization
Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, and Tat-Seng Chua · 2022
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Eccv caption: Correcting false negatives by collecting machine-and-human-verified image-caption associations for ms-coco
Sanghyuk Chun, Wonjae Kim, Song Park, Minsuk Chang Chang, and Seong Joon Oh · 2022
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Zero-shot composed image retrieval with textual inversion
Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, and Alberto Del Bimbo · 2023
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Language-only efficient training of zero-shot composed image retrieval
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Visual delta generator with large multi-modal models for semi-supervised composed image retrieval
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