Browse State-of-the-Art › Dense Captioning
Dense Captioning
34 papers with code · 1 benchmark · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| Visual Genome (4 rows) | ControlCap | ControlCap: Controllable Region-level Captioning | code | Syntology ran 3 of 4 samples · 1 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 34 papers with code (69 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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24 Jul 2023 5 repositories listed Syntology ran 5 of 10 samples · 5 unverified · 10 pointer-only (licence)Furthermore, experiments on our held-in datasets for 3D captioning, task composition, and 3D-assisted dialogue show that our model outperforms 2D VLMs.
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2 May 2017 4 repositories listedWe also introduce ActivityNet Captions, a large-scale benchmark for dense-captioning events.
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20 Nov 2016 3 repositories listed Syntology ran 0 of 9 samples · 9 unverifiedRecent progress on image captioning has made it possible to generate novel sentences describing images in natural language, but compressing an image into a single sentence can describe visual content in only coarse…
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24 Sep 2024 2 repositories listedThe comic domain is rapidly advancing with the development of single- and multi-page analysis and synthesis models.
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4 Dec 2023 2 repositories listed Syntology ran 7 of 11 samples · 4 unverifiedThis work proposes TimeChat, a time-sensitive multimodal large language model specifically designed for long video understanding.
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6 Jun 2025 1 repository listedApplied to the NuScenes dataset, we present STSnu, the first benchmark that evaluates the spatio-temporal reasoning capabilities of VLMs based on comprehensive 3D perception.
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2 May 2025 1 repository listedWe propose TEMPURA (Temporal Event Masked Prediction and Understanding for Reasoning in Action), a two-stage training framework that enhances video temporal understanding.
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29 Nov 2024 1 repository listedEnabling Large Language Models (LLMs) to understand the 3D physical world is an emerging yet challenging research direction.
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7 Aug 2024 1 repository listedThe framework consists of two main parts: a Single-Shot PCI Estimation Network and a Dense Captioning Network.
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8 Jul 2024 1 repository listed Syntology ran 10 of 10 samples · 0 unverified3D Vision-Language Pre-training (3D-VLP) aims to provide a pre-train model which can bridge 3D scenes with natural language, which is an important technique for embodied intelligence.
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14 Jun 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverifiedThe state of an object reflects its current status or condition and is important for a robot's task planning and manipulation.
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16 May 2024 1 repository listed Syntology ran 9 of 17 samples · 8 unverified · 17 pointer-only (licence)To facilitate the use of referent tokens in subsequent language modeling, we provide a large-scale, automatically curated grounded scene-text dataset with over 1 million phrase-to-region correspondences and introduce…
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25 Apr 2024 1 repository listed Syntology ran 0 of 2 samples · 2 unverified · 2 pointer-only (licence)PLLaVA achieves new state-of-the-art performance on modern benchmark datasets for both video question-answer and captioning tasks.
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17 Apr 2024 1 repository listed3D Visual Grounding (3DVG) and 3D Dense Captioning (3DDC) are two crucial tasks in various 3D applications, which require both shared and complementary information in localization and visual-language relationships.
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28 Mar 2024 1 repository listed Syntology ran 10 of 16 samples · 6 unverified · 16 pointer-only (licence)However, the exploration of 3D dense captioning in outdoor scenes is hindered by two major challenges: 1) the domain gap between indoor and outdoor scenes, such as dynamics and sparse visual inputs, makes it difficult…
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31 Jan 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)The multimodal model is constrained to generate captions within a few sub-spaces containing the control words, which increases the opportunity of hitting less frequent captions, alleviating the caption degeneration…
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1 Jan 2024 1 repository listedRecent progress in Large Multimodal Models (LMM) has opened up great possibilities for various applications in the field of human-machine interactions.
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30 Nov 2023 1 repository listed Syntology ran 6 of 6 samples · 0 unverifiedHowever, developing LMMs that can comprehend, reason, and plan in complex and diverse 3D environments remains a challenging topic, especially considering the demand for understanding permutation-invariant point cloud 3D…
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6 Sep 2023 1 repository listedMoreover, we argue that object localization and description generation require different levels of scene understanding, which could be challenging for a shared set of queries to capture.
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8 Aug 2023 1 repository listed Syntology ran 4 of 6 samples · 2 unverified3D vision-language grounding (3D-VL) is an emerging field that aims to connect the 3D physical world with natural language, which is crucial for achieving embodied intelligence.
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19 May 2023 1 repository listedIn this paper, we propose a novel method called Joint QA and DC GEneration (JADE), which utilizes a pre-trained multimodal model and easily-crawled image-text pairs to automatically generate and filter large-scale VQA…
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8 May 2023 1 repository listedIIITD-20K comprises of 20, 000 unique identities captured in the wild and provides a rich dataset for text-to-image ReID.
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6 Jan 2023 1 repository listed Syntology ran 1 of 3 samples · 2 unverifiedCompared with prior arts, our framework has several appealing advantages: 1) Without resorting to numerous hand-crafted components, our method is based on a full transformer encoder-decoder architecture with a learnable…
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1 Jan 2023 1 repository listedThe current approaches for 3D visual reasoning are task-specific, and lack pre-training methods to learn generic representations that can transfer across various tasks.
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1 Dec 2022 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)Specifically, GRiT consists of a visual encoder to extract image features, a foreground object extractor to localize objects, and a text decoder to generate open-set object descriptions.
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22 Apr 2022 1 repository listedDense captioning in 3D point clouds is an emerging vision-and-language task involving object-level 3D scene understanding.
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10 Mar 2022 1 repository listed Syntology ran 2 of 9 samples · 7 unverified3D dense captioning is a recently-proposed novel task, where point clouds contain more geometric information than the 2D counterpart.
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2 Mar 2022 1 repository listedThus, a more faithful caption can be generated only using point clouds during the inference.
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1 Nov 2021 1 repository listedSuch information is even more important for story visualization since its inputs have an explicit narrative structure that needs to be translated into an image sequence (or visual story).
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21 Oct 2021 1 repository listedPrior work in this domain has shown that there is ample room for improvement in the generated image sequence in terms of visual quality, consistency and relevance.
Syntology lines on 14 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections