Motion Generation News
The latest Motion Generation coverage curated for game developers.
A new motion-generation system aims to cover both humans and animals with one model, sidestepping the topology mismatch that usually forces separate pipelines. UniMo pairs a point-cloud representation with dynamic …
A new text-to-motion method adds per-stroke timing control, aiming to make prompted actions land on the right frames instead of just the right motion. It introduces Action Units that encode …
Learn2Chat tackles dyadic talking-head animation by separating speech-driven motion from interaction-driven behavior. The system reuses pretrained monologic motion priors, then modulates them with learned interaction latents to produce synchronized two-person …
ARDY is a new streaming motion-generation system that aims to make real-time humanoid animation both controllable and high quality. It combines autoregressive diffusion with a hybrid motion representation, letting interactive …
A new text-to-motion paper argues that motion codebooks are not just arbitrary token IDs: their learned embeddings preserve local kinematic geometry. That matters for animation pipelines because it replaces flat …
A new paper claims feed-forward 3D animation for arbitrary objects, which is interesting because it tries to remove a lot of the manual rigging and keyframing pain. The pipeline renders …
A new music-driven dance generation paper claims state-of-the-art results by moving the problem into a latent space and conditioning on music genre. The practical takeaway for animation and tools teams …
A diffusion-based motion system now takes numeric effort signals instead of vague adverbs, which is a big deal for anyone trying to direct character intensity more precisely. The paper maps …
MotionDuet tries to make 3D human motion generation less “text prompt only” and more grounded in real motion statistics by adding video cues during training and inference. For animation-heavy game …
A new lightweight framework for stylized text-to-motion generation is set to enhance realism in animations. By utilizing hypernetwork-driven low-rank adaptation, developers can achieve nuanced motion styles without extensive model fine-tuning, …
The introduction of a flow-matching framework for co-manipulation in human interactions is a significant advancement for developers focused on realistic motion generation. By addressing the challenges of synchronizing multiple users …
A single rectified-flow model can now handle text-to-motion generation, semantic editing, and same-topology retargeting in one pass. The system conditions on both text and skeleton, then uses joint-level tokenization and …
The introduction of Pulp Motion marks a significant advancement in generating coherent human motion and camera trajectories. By integrating these two modalities through a shared latent space, developers can achieve …
A new humanoid-robot framework, ProAct, splits real-time social interaction into two systems: one streams fluent motion and nonverbal behavior, while the other reasons about dialogue and visual context to decide …