MarkerMoGen native paper512 experimental checkpoints
Source: https://github.com/CurMack/markermogen/tree/dc024c28dc1a12555841ef99165504791def332e
Own inference-only 306D body/finger x0 priors with normalized clean training statistics and globally SHA-bound development profiles. These checkpoints load strictly and have finite weights, but reconstruction quality is not accepted and superiority to MAMMA/SAM3DBody is not established. The current lowvis50 checkpoint is early step1000; the separate AMASS-only prior finished100000 steps. Do not initialize fresh mixed training from the old AMASS prior.
Public third-party mirrors retain their original licenses. MammaNet, its marker map, SMPL and SMPL-X must be obtained from the official sites under their licenses; they are not mirrored here. See assets.json for complete availability. No raw motion/video, SMPL-X buffers, actor information, secrets or signed release links are included.
Use the GitHub current guide and requirements-paper512.txt, obtain separately authorized decoder assets, then run markermogen.paper512.infer with the exported model.pt and its global_development_profile.json. All sequences for a candidate share one checkpoint and profile. Do not use these development profiles to open final held-out sequences.
Repaired CUDA inference source
Use source commit https://github.com/CurMack/markermogen/tree/330ce8bdc124bd4df6a9acf714872087785fac05 and the matching global_development_cpu_geometry_profile.json next to each model. Triangulation uses identical CPU equations for all inputs; root/shape fitting, diffusion and guidance run on GPU. All 56 geometry checks were bitwise equal to the original CPU equations, and CUDA validation now runs. This is a runtime correction; quality remains experimental. Initial profiles and their source commit are retained for reproducibility.
ViTPose, SAM3DBody and MHR are available with their licenses and exact official revisions in assets.json and official_sources.json. MammaNet and SMPL/SMPL-X require official authorized downloads.
Repaired CUDA inference source
Use source commit https://github.com/CurMack/markermogen/tree/330ce8bdc124bd4df6a9acf714872087785fac05 and the matching global_development_cpu_geometry_profile.json next to each model. Triangulation uses identical CPU equations for all inputs; root/shape fitting, diffusion and guidance run on GPU. All 56 geometry checks were bitwise equal to the original CPU equations, and CUDA validation now runs. This is a runtime correction; quality remains experimental. Initial profiles and their source commit are retained for reproducibility.
ViTPose, SAM3DBody and MHR are available with their licenses and exact official revisions in assets.json and official_sources.json. MammaNet and SMPL/SMPL-X require official authorized downloads.