Bilingual Text-to-Motion Generation: A New Benchmark and Baselines
Bilingual Text-to-Motion Generation: A New Benchmark and Baselines explores A new bilingual text-to-motion benchmark and baseline model that enables high-quality motion generation from diverse language inputs, including zero-shot code-switching.. Commercial viability score: 7/10 in Generative Motion.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $9K - $13K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisUniMotion: A Unified Framework for Motion-Text-Vision Understanding and GenerationViability: 4.0
- Builds On ThisFine-grained Motion Retrieval via Joint-Angle Motion Images and Token-Patch Late InteractionViability: 6.0
- Prior WorkMoCHA: Denoising Caption Supervision for Motion-Text RetrievalViability: 7.0
- Prior WorkMMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine TranslationViability: 7.0
- Higher ViabilityInterEdit: Navigating Text-Guided Multi-Human 3D Motion Editing