Motion Synthesis News
The latest Motion Synthesis coverage curated for game developers.
A new diffusion-based system can synthesize drummer motion from audio with centimeter-level stick accuracy while keeping the body movement natural. It targets the hard part of music-driven animation: fast, high-precision …
For animation teams, the useful bit is that MultiAct can steer pretrained text-to-motion models toward composite prompts without retraining them. It tackles the common failure mode where a model latches …
SCRIPT pushes language-driven humanoid control toward more stable, physically plausible motion. The system combines a diffusion policy with multi-stage training, then adds reinforcement learning to improve instruction following and motion …
2D video motion is being used as training data for 3D human motion generation, which could widen the motion library available to games without relying so heavily on expensive mocap. …
A new motion-synthesis paper tackles sparse character control with a two-stage approach: first it conditions a frozen text-to-motion diffusion prior on a few anchors, then it refines the result by …
FatigueFusion introduces a novel deep-learning architecture that allows developers to synthesize fatigue-driven motion in 3D animations. This tool offers a significant advancement for graphics programmers and animators, enabling the creation …
Fatigue-PINN introduces a novel approach to motion synthesis by integrating physics-informed neural networks to model human fatigue. This advancement allows for smoother animations and more realistic character movements, which is …
The study on motion representation in diffusion models reveals significant differences in performance across various configurations. This is crucial for developers focused on human motion generation, as it directly impacts …