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README.md

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+---
+license: mit
+tags:
+  - motion-generation
+  - human-motion
+  - preference-learning
+  - rlhf
+---
+
+# MotionCritic
+
+Pretrained critic model for **"Aligning Human Motion Generation with Human Perceptions"** (ICLR 2025).
+
+[[Paper]](https://arxiv.org/abs/2407.02272) [[GitHub]](https://github.com/ou524u/MotionCritic) [[Project Page]](https://motioncritic.github.io/)
+
+## Usage
+
+```python
+from lib.model.load_critic import load_critic
+from parsedata import into_critic
+import torch
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+critic_model = load_critic("motioncritic_pre.pth", device)
+
+# motion: [bs, 25, 6, frame], rot6d
+preprocessed = into_critic(motion)  # [bs, frame, 25, 3], axis-angle
+scores = critic_model.module.batch_critic(preprocessed)
+```
+
+## Citation
+
+```bibtex
+@inproceedings{motioncritic2025,
+    title={Aligning Motion Generation with Human Perceptions},
+    author={Wang, Haoru and Zhu, Wentao and Miao, Luyi and Xu, Yishu and Gao, Feng and Tian, Qi and Wang, Yizhou},
+    booktitle={International Conference on Learning Representations (ICLR)},
+    year={2025}
+}
+```

motioncritic_pre.pth

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b846f9adf61b8cc2cae84e567add0a086223b5a9ea3c483746216ebcdf43e668
+size 273673513