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Found 5 papers, 2 papers with code
CrowdMoGen: Zero-Shot Text-Driven Collective Motion Generation
Crowd Motion Generation is essential in entertainment industries such as animation and games as well as in strategic fields like urban simulation and planning.
Ranked #1 on
Motion Generation
on KIL-ML
Large Motion Model for Unified Multi-Modal Motion Generation
In this work, we present Large Motion Model (LMM), a motion-centric, multi-modal framework that unifies mainstream motion generation tasks into a generalist model.
Digital Life Project: Autonomous 3D Characters with Social Intelligence
In this work, we present Digital Life Project, a framework utilizing language as the universal medium to build autonomous 3D characters, who are capable of engaging in social interactions and expressing with articulated body motions, thereby simulating life in a digital environment.
Ranked #3 on
Motion Synthesis
on InterHuman
ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model
However, the performance on more diverse motions remains unsatisfactory.
Ranked #1 on
Motion Synthesis
on KIT Motion-Language
MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model
Instead of a deterministic language-motion mapping, MotionDiffuse generates motions through a series of denoising steps in which variations are injected.
Ranked #21 on
Motion Synthesis
on KIT Motion-Language
