Type a name, or just describe what you need. Results blend keyword and meaning-based search. 13 matches, each with an EU availability status.
Model
Text-to-human-motion flow-matching model that generates full-resolution motion directly, with training-free joint constraints.
Research
Research reward that scores human motion in generated video via 3D body recovery and MuJoCo physics simulation.
Research method generating text-conditioned 3D human-object interaction motion using body-part anchors and a contact refiner.
Diffusion framework that learns text-to-3D human motion generation from 2D poses extracted from monocular videos.
Research framework for first-person world simulation driven by 3D human motion and anchor-view scene customization.
Research framework that retargets human motion to humanoid robots using learned point cloud correspondences.
Monocular video motion capture that combines flow matching with physics-based RL for plausible 3D human motion.
Model · NVIDIA
NVIDIA autoregressive diffusion model for real-time, text- and constraint-controlled 3D human motion generation.
Unified motion-language model for text-to-motion, motion captioning, completion and editing, from HKUST and Tencent Games.
Research model that turns a pretrained video diffusion model into a latent action learner for human-to-robot motion transfer.
Research · Tsinghua University
Tsinghua research system in which a humanoid robot learns to play badminton rallies from limited human motion data.
NVIDIA's real-time generative motion model for game characters and humanoid robots, with smart primitives for authoring.
Training-free, skeleton-free video motion transfer across subjects using TransPE on a frozen WAN-T2V diffusion transformer.
