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Diversemotion: Towards diverse human motion generation via discrete diffusion

2 Pith papers cite this work. Polarity classification is still indexing.

2 Pith papers citing it

citation-role summary

background 1 baseline 1

citation-polarity summary

fields

cs.CV 2

years

2026 1 2025 1

verdicts

UNVERDICTED 2

representative citing papers

Next-Scale Autoregressive Models for Text-to-Motion Generation

cs.CV · 2026-04-04 · unverdicted · novelty 6.0

MoScale introduces a hierarchical next-scale autoregressive framework for text-to-motion generation that achieves state-of-the-art performance by refining motions from coarse to fine temporal resolutions.

citing papers explorer

Showing 2 of 2 citing papers.

  • ViBES: A Conversational Agent with Behaviorally-Intelligent 3D Virtual Body cs.CV · 2025-12-16 · unverdicted · none · ref 72

    ViBES introduces a speech-language-behavior model using modality-specific transformer experts that jointly generates dialogue and 3D body actions, showing gains over separate co-speech and text-to-motion baselines on multi-turn metrics.

  • Next-Scale Autoregressive Models for Text-to-Motion Generation cs.CV · 2026-04-04 · unverdicted · none · ref 24

    MoScale introduces a hierarchical next-scale autoregressive framework for text-to-motion generation that achieves state-of-the-art performance by refining motions from coarse to fine temporal resolutions.