Frontier Report
Latest research and analysis in frontier report.
Frontier Report — Motion Representation & Generative AI (2026-07-01)
If May's frontier report identified a "taxonomy and physics double turn" and mid-June added the "muscle turn," the research of late June 2026 reveals what these developments have in common. Across otherwise unrelated lines of work — physics-based humanoid control, hierarchical motion tokenisation, m...
Frontier Report — Motion Representation & Generative AI (2026-06-01)
June 1, 2026 marks the opening of CVPR 2026 in Denver — the largest computer vision and pattern recognition conference in history, with 4,090 accepted papers across two weeks of sessions, workshops, and tutorials. The human motion track is more extensive than at any previous CVPR, with a dedicated o...
Frontier Report — Motion Representation & Generative AI (2026-05)
The past four weeks mark a notable thematic convergence in motion generation research. Three independent lines of work — physics-grounded generation, identity-conditioned synthesis, and contact-explicit modelling — have each produced significant papers in rapid succession. Together they signal a fie...
Frontier Report — Manifold-Level Motion Conditioning: Beyond Skeleton Keypoints to Somatic Texture
The dominant conditioning paradigm in human motion generation treats pose as a flat array of joint positions—an $\mathbb{R}^{3J}$ vector for $J$ joints. The convenience is obvious: keypoints are easily supervised, trivially differentiable, and require no domain knowledge of kinematics. But this repr...