ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data
ReMoGen: Real-time Human Interaction-to-Reaction Generation via Modular Learning from Diverse Data explores ReMoGen generates real-time human reactions to interactions using modular learning and segment-level refinement.. Commercial viability score: 6/10 in Motion Generation.
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 ThisEmpathetic Motion Generation for Humanoid Educational Robots via Reasoning-Guided Vision--Language--Motion Diffusion ArchitectureViability: 4.0
- Builds On ThisRiemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow MatchingViability: 3.0
- Prior WorkReactMotion: Generating Reactive Listener Motions from Speaker UtteranceViability: 6.0
- Prior WorkMeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene ReconstructionViability: 6.0
- Prior Work