zirobtc/hmr-dataset

GEM: A Generalist Model for Human Motion

Jiefeng Li · Jinkun Cao · Haotian Zhang · Davis Rempe · Jan Kautz · Umar Iqbal · Ye Yuan

ICCV 2025 (Highlight)

GEM is a generalist model for human motion that handles multiple tasks with a single model, supporting diverse conditioning signals including video, keypoints, text, audio, and 3D keyframes.

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📰 News

• [December 2025] 📢 GENMO has been renamed to GEM.
• [October 2025] 📢 The GEM codebase is released!
  Stay tuned for the pretrained models and evaluation scripts.
  Follow the project page for updates and announcements.

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🚀 Highlights

GEM introduces a unified generative framework that connects motion estimation and generation through shared objectives.

• Unified framework: Reframes motion estimation as constrained generation, allowing a single model to perform both tasks.
• Regression × Diffusion synergy: Combines the accuracy of regression models with the diversity of diffusion-based generation.
• Estimation-guided training: Trains effectively on in-the-wild datasets using only 2D or textual supervision.
• Multimodal conditioning: Supports video, text, audio, 2D/3D keyframes, or even time-varying mixed inputs (e.g., video → text → video).
• Arbitrary-length motion: Generates continuous, coherent sequences of any duration in one diffusion pass.
• State-of-the-art performance: Achieves leading results on diverse motion estimation and generation benchmarks.

For more details, visit the GEM project page →

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Pretrained Models

You can download pretrained models from Google Drive.

📖 Paper & Citation

Paper:
GENMO: A GENeralist Model for Human MOtion
Jiefeng Li, Jinkun Cao, Haotian Zhang, Davis Rempe, Jan Kautz, Umar Iqbal, Ye Yuan
ICCV, 2025

BibTeX:

@inproceedings{genmo2025,
  title     = {GENMO: A GENeralist Model for Human MOtion},
  author    = {Li, Jiefeng and Cao, Jinkun and Zhang, Haotian and Rempe, Davis and Kautz, Jan and Iqbal, Umar and Yuan, Ye},
  booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
  year      = {2025}
}