Simplify model card assets overview

README.md

@@ -4,51 +4,31 @@ tags:
 - 3d
 - human-motion-generation
 - diffusion
+- arxiv:2605.20955
 ---
 
 # 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.
+DrawMotion is a diffusion-based framework for generating 3D human motions from text and freehand drawing conditions, including 2D trajectories and stickman sketches.
 
 - **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
+## Model Assets
 
-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.
+This Hugging Face repository hosts the public model assets used by DrawMotion. For installation, web demo reproduction, training, and evaluation instructions, please refer to the GitHub repository.
 
-## Sample Usage
+Included assets:
 
-### Prepare Weights
+- `logs/human_ml3d/last.ckpt`
+- `mid_feat/t2m/mid_feat.pt`
+- `stickman/weight/real_init/t2m/stickman_encoder.ckpt`
+- `logs/kit_ml/last.ckpt`
+- `mid_feat/kit/mid_feat.pt`
+- `stickman/weight/kit_ml/split_weight/stickman_encoder.ckpt`
 
-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
-```
+The current public web demo exposes text and trajectory control. Stickman-conditioned interaction is coming soon.
 
 ## Citation
 
@@ -63,4 +43,4 @@ If you find DrawMotion useful, please cite:
   pages={1--17},
   doi={10.1109/TPAMI.2026.3679530}
 }
-```
+```