Add model card for DrawMotion

Hi, I'm Niels from the community science team at Hugging Face. This PR adds a model card for DrawMotion, which includes:
- Metadata for the pipeline tag and relevant search tags.
- Links to the paper, GitHub repository, and demo video.
- A brief overview of the project.
- Instructions on how to download the model weights using the `huggingface_hub` CLI.
- The BibTeX citation for the paper.

README.md

@@ -0,0 +1,66 @@
+---
+pipeline_tag: other
+tags:
+- 3d
+- human-motion-generation
+- diffusion
+---
+
+# DrawMotion: Generating 3D Human Motions by Freehand Drawing
+
+DrawMotion is an efficient diffusion-based framework designed for multi-condition scenarios, generating 3D human motions based on both conventional text conditions and a novel hand-drawing condition. This approach provides both semantic and spatial control over the generated motions.
+
+- **Paper:** [DrawMotion: Generating 3D Human Motions by Freehand Drawing](https://huggingface.co/papers/2605.20955)
+- **Repository:** [InvertedForest/DrawMotion](https://github.com/InvertedForest/DrawMotion)
+- **Demo Video:** [YouTube](https://youtu.be/sy2QTdDD09A)
+
+## Overview
+
+Text-to-motion generation often faces challenges in precisely conveying intended motions through text alone. DrawMotion addresses this by introducing a multi-condition fusion module (MCM) that integrates text prompts with freehand stickman sketches and 2D trajectories. It also utilizes a training-free guidance strategy to align generated motions with user intentions while preserving fidelity.
+
+## Sample Usage
+
+### Prepare Weights
+
+You can download the required model assets from this repository using the `huggingface_hub` CLI:
+
+```bash
+pip install -U huggingface_hub
+hf download I0u0I/DrawMotion \
+  --local-dir . \
+  --include "logs/human_ml3d/last.ckpt" \
+            "mid_feat/t2m/mid_feat.pt" \
+            "stickman/weight/real_init/t2m/stickman_encoder.ckpt"
+```
+
+The model also requires the OpenAI CLIP text encoder:
+```python
+import clip
+# Download the OpenAI CLIP text encoder used by DrawMotion.
+python -c 'import clip; clip.load("ViT-B/32", device="cpu")'
+```
+
+### Running the Web Demo
+
+To run the interactive DrawMotion experience locally, use the following command from the repository root:
+
+```bash
+DRAWMOTION_CKPT=logs/human_ml3d/last.ckpt \
+DRAWMOTION_GPU=0 \
+uvicorn demo.drawmotion_studio.app:app --host 0.0.0.0 --port 12008
+```
+
+## Citation
+
+If you find DrawMotion useful, please cite:
+
+```bibtex
+@article{wang2026drawmotion,
+  title={DrawMotion: Generating 3D Human Motions by Freehand Drawing},
+  author={Wang, Tao and Jin, Lei and Wu, Zhihua and He, Qiaozhi and Chu, Jiaming and Cheng, Yu and Xing, Junliang and Zhao, Jian and Yan, Shuicheng and Wang, Li},
+  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
+  year={2026},
+  pages={1--17},
+  doi={10.1109/TPAMI.2026.3679530}
+}
+```