Browse State-of-the-Art › controllable image captioning
controllable image captioning
8 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
generate image captions conditioned on control signals
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
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Datasets archive 2025-07-28
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Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
8 shown of 8 papers with code (14 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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15 Dec 2024 1 repository listedThe Controllable Image Captioning Agent (CapAgent) is an innovative system designed to bridge the gap between user simplicity and professional-level outputs in image captioning tasks.
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16 Jul 2024 1 repository listedWe use this Structured Semantic Augmentation (SSA) framework to augment existing image-caption datasets with the grounded controlled captions, increasing their spatial and semantic diversity and focal coverage.
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4 May 2023 1 repository listed Syntology ran 3 of 10 samples · 7 unverifiedControllable image captioning is an emerging multimodal topic that aims to describe the image with natural language following human purpose, e.
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27 Nov 2022 1 repository listedControllable image captioning models generate human-like image descriptions, enabling some kind of control over the generated captions.
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22 Mar 2021 1 repository listed Syntology ran 0 of 1 samples · 1 unverifiedHowever, we argue that almost all existing objective control signals have overlooked two indispensable characteristics of an ideal control signal: 1) Event-compatible: all visual contents referred to in a single…
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30 Nov 2020 1 repository listedA vital component of the Controllable Image Captioning architecture is the mechanism that decides the timing of attending to each region through the advancement of a region pointer.
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19 Jul 2020 1 repository listedWe verify the merit of the proposed length level embedding on three models: two state-of-the-art (SOTA) autoregressive models with different types of decoder, as well as our proposed non-autoregressive model, to show…
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26 Nov 2018 1 repository listedCurrent captioning approaches can describe images using black-box architectures whose behavior is hardly controllable and explainable from the exterior.
Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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