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Gesture Generation datasets

archive 2025-07-28

7 datasets carry the task tag "Gesture Generation" (the task itself: Gesture Generation), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Gesture Generation datasets 1–7 of 7

Comprises 11 hand gesture categories from 29 subjects under 3 illumination conditions.
103 papers · 6 benchmarks
BEAT (Body-Expression-Audio-Text)
BEAT has i) 76 hours, high-quality, multi-modal data captured from 30 speakers talking with eight different emotions and in four different languages, ii) 32 millions frame-level emotion and semantic relevance annotations.
56 papers · 1 benchmark
BEAT2 (BEAT-SMPLX-FLAME)
We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, and global movements.
23 papers · 2 benchmarks
Co-speech gestures are everywhere.
12 papers · 1 benchmark
This is a 16.2-million frame (50-hour) multimodal dataset of two-person face-to-face spontaneous conversations.
5 papers · 0 benchmarks
BiGe (Bielefeld Gesture Corpus)
The BiGe corpus is comprised of 54.360 shots of interest extracted from TED and TEDx talks.
2 papers · 0 benchmarks
To evaluate our proposed strategy of asynchronous communication for LLMs, we run games of Mafia with human players, incorporating an LLM-based agent as an additional player, within an asynchronous chat environment.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.