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DrawMotion generates 3D human motion from freehand drawings

Researchers have developed DrawMotion, a diffusion-based framework for generating 3D human motions that incorporates both text and hand-drawn sketches as input conditions. This dual-condition approach allows for more precise control over motion generation, with the hand-drawn element providing spatial guidance. Experiments show that using freehand drawings can reduce the time required for motion generation by nearly half compared to text-only methods. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enables more intuitive and efficient creation of 3D animations by combining text and visual input.

RANK_REASON The cluster contains a new academic paper detailing a novel method for generating 3D human motions. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

COVERAGE [1]

  1. arXiv cs.CV TIER_1 · Li Wang ·

    DrawMotion: Generating 3D Human Motions by Freehand Drawing

    Text-to-motion generation, which translates textual descriptions into human motions, faces the challenge that users often struggle to precisely convey their intended motions through text alone. To address this issue, this paper introduces DrawMotion, an efficient diffusion-based …