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diff --git a/README.MD b/README.MD
new file mode 100644
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+# HOIDiNi: Human–Object Interaction through Diffusion Noise Optimization
+
+
+HOIDiNi is a research codebase for generating physically plausible 3D Human–Object Interactions conditioned on text,objects and scene constraints. It combines diffusion-based motion generation with contact-aware optimization and high-fidelity visualization.
+
+[![Project Page](https://img.shields.io/badge/Project-Website-1e90ff.svg)](https://hoidini.github.io/)
+[![arXiv](https://img.shields.io/badge/arXiv-2506.15625-b31b1b.svg)](https://arxiv.org/abs/2506.15625)
+[![Video](https://img.shields.io/badge/Video-YouTube-ff0000.svg?logo=youtube&logoColor=white)](https://youtu.be/lN1260WEe7U)
+[![Python](https://img.shields.io/badge/Python-3.10%20%7C%203.11%20%7C%203.12-blue?logo=python&logoColor=white)](https://www.python.org/)
+[![Hydra](https://img.shields.io/badge/Config-Hydra_1.3-89b8cd)](https://hydra.cc/)
+[![Black](https://img.shields.io/badge/Code%20Style-Black-black.svg?labelColor=gray)](https://black.readthedocs.io/en/stable/)
+[![License](https://img.shields.io/badge/License-MIT-green.svg?labelColor=gray)](LICENSE)
+
+ <img src="assets/teaser.png" alt="HOIDiNi teaser" width="800"/>
+
+## 📜 TODO List
+
+- [x] Release the main code
+- [x] Release the pretrained model
+- [ ] Release evaluation code
+
+<!-- ## 💻 Demo
+<a href="https://hoidini.github.io/static/figures/results1.mp4">
+  <img src="assets/teaser.png" alt="Demo" width="600"/>
+</a> -->
+
+## 📥 Data Preparation
+- Ensure dataset paths are set as below (GRAB/HumanML3D etc.).
+- Configure dataset locations via environment variables or edit `hoidini/resource_paths.py`:
+
+```bash
+export GRAB_ORIG_DATA_PATH=/abs/path/to/GRAB/original
+export GRAB_DATA_PATH=/abs/path/to/GRAB/retargeted
+export HUMANML3D_DATASET_PATH=/abs/path/to/HumanML3D
+export MANO_SMPLX_VERTEX_IDS_PATH=/abs/path/to/MANO_SMPLX_vertex_ids.pkl
+export OMOMO_DATA_PATH=/abs/path/to/OMOMO
+```
+
+SMPL/SMPL-X model files are required by dependent components.
+
+
+## ⚙️ Setups
+Recommended: create a fresh Conda env and install from `requirements.txt`.
+
+```bash
+conda create -n hoidini python=3.11
+conda activate hoidini
+pip install -r requirements.txt
+```
+
+Then set the `PYTHONPATH`:
+
+```bash
+cd /path/to/hoidini
+export PYTHONPATH=$(pwd)
+```
+
+Run inference (Hydra, defaults in `hoidini/configs/sampling_mdm.yaml`):
+
+```bash
+python -m hoidini.inference_hoi_model \
+  out_dir=/abs/path/to/results \
+  model_path=/abs/path/to/checkpoints/model000020000.pt \
+  use_dno=true anim_save=true guidance_param=1.5
+```
+
+Notes:
+- Tune `batch_size_gen`,`batch_size_dataset`,`n_simplify_hands`,`n_simplify_object` as needed.
+- When `anim_save=true`, results are exported as `.blend` alongside `.pickle` artifacts.
+
+## 📊 Training & Evaluation
+- HOIDiNi evaluation utilities (statistical metrics,action recognition) are under `hoidini/eval/`.
+- Additional training/evaluation docs will be released.
+
+## 🖼 Visualization
+Blender-based visualization is integrated in `hoidini/blender_utils/visualize_hoi_animation.py` and is triggered automatically when `anim_save=true`.
+
+## 🤝 Citation
+
+If you find this repository useful for your work, please consider citing:
+
+```bibtex
+@article{ron2025hoidini,
+  title={HOIDiNi: Human-Object Interaction through Diffusion Noise Optimization},
+  author={Ron, Roey and Tevet, Guy and Sawdayee, Haim and Bermano, Amit H},
+  journal={arXiv preprint arXiv:2506.15625},
+  year={2025}
+}
+```
+
+## 🙏 Acknowledgements
+This codebase adapts components from HOI-Diff and CHOIS, and relies on SMPL/SMPL-X ecosystems, PyTorch3D, PyG and related projects. We thank the authors and maintainers of these works.
+
+ 
\ No newline at end of file
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diff --git a/model_card.md b/model_card.md
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+# HOIDiNi Dataset: Human-Object Interaction through Diffusion Noise Optimization
+
+[![arXiv](https://img.shields.io/badge/arXiv-2506.15625-b31b1b.svg)](https://arxiv.org/abs/2506.15625)
+[![Project Page](https://img.shields.io/badge/Project-Website-1e90ff.svg)](https://hoidini.github.io/)
+[![Video](https://img.shields.io/badge/Video-YouTube-ff0000.svg?logo=youtube&logoColor=white)](https://youtu.be/lN1260WEe7U)
+
+## Dataset Description
+
+This repository contains the datasets and trained models for HOIDiNi, a text-driven diffusion framework for synthesizing realistic and plausible human-object interaction (HOI).
+
+### Key Features
+- **Text-driven HOI generation**: Generate human-object interactions from natural language descriptions
+- **Two-phase optimization**: Object-centric phase for contact planning, human-centric phase for full-body motion
+- **Diffusion Noise Optimization (DNO)**: Test-time optimization in the noise space of pretrained diffusion models
+- **High accuracy**: Millimeter-level precision in contact generation
+
+## Repository Structure
+
+```
+├── models/                                    # Trained model weights
+│   └── cphoi_05011024_c15p100_v0/            # CPHOI model experiment
+│       ├── model000120000.pt                 # Main CPHOI model (748MB)
+│       ├── eps.pt                            # Normalization parameters
+│       ├── mean.pt                           # Mean parameters
+│       └── args.json                         # Training arguments
+├── datasets/                                  # Compressed datasets
+│   ├── GRAB_RETARGETED_compressed/          # Compressed GRAB dataset (2.7GB)
+│   └── MANO_SMPLX_vertex_ids.pkl            # Hand-object mapping data
+└── README.MD                                  # Setup and usage instructions
+```
+
+## Quick Start
+
+1. **Clone this dataset repository**:
+```bash
+git clone https://huggingface.co/datasets/Roey/hoidini
+cd hoidini
+```
+
+2. **Set environment variables**:
+```bash
+export GRAB_DATA_PATH=$(pwd)/datasets/GRAB_RETARGETED_compressed
+export MANO_SMPLX_VERTEX_IDS_PATH=$(pwd)/datasets/MANO_SMPLX_vertex_ids.pkl
+```
+
+3. **Use the trained models**:
+The models are available in the `models/cphoi_05011024_c15p100_v0/` directory. For code and usage instructions, please refer to the main [HOIDiNi repository](https://github.com/roeyronen/hoidini).
+
+## Model Details
+
+- **Architecture**: Contact-Pairs Human-Object Interaction (CPHOI) diffusion model
+- **Training Data**: GRAB dataset with contact pair annotations
+- **Input**: Text descriptions + object geometry
+- **Output**: Full-body human motion + object trajectories + contact pairs
+- **Compression**: Dataset compressed from 67GB to 2.7GB (24.8x reduction)
+
+## Citation
+
+```bibtex
+@article{ron2025hoidini,
+  title={HOIDiNi: Human-Object Interaction through Diffusion Noise Optimization},
+  author={Ron, Roey and Tevet, Guy and Sawdayee, Haim and Bermano, Amit H},
+  journal={arXiv preprint arXiv:2506.15625},
+  year={2025}
+}
+```
+
+## License
+
+This project is licensed under the MIT License.
+
+## Links
+
+- **Project Page**: [hoidini.github.io](https://hoidini.github.io/)
+- **Paper**: [arXiv:2506.15625](https://arxiv.org/abs/2506.15625)
+- **Video**: [YouTube](https://youtu.be/lN1260WEe7U)
diff --git a/models/cphoi_05011024_c15p100_v0/args.json b/models/cphoi_05011024_c15p100_v0/args.json
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+{
+    "adam_beta2": 0.999,
+    "autoregressive_include_prefix": false,
+    "avg_model_beta": 0.9999,
+    "batch_size": 64,
+    "cond_mask_prob": 0.1,
+    "context_len": 15,
+    "data_load_lim": null,
+    "dataset": "",
+    "debug_mode": false,
+    "device": 0,
+    "diffusion_steps": 8,
+    "eval_during_training": false,
+    "feature_names": "cphoi",
+    "fps": 20,
+    "gen_during_training": false,
+    "grab_dataset_path": "/home/dcor/roeyron/trumans_utils/DATASETS/DATA_GRAB_RETARGETED",
+    "guidance_param": 7.5,
+    "keyframe_cond_type": "",
+    "lambda_fc": 0.0,
+    "lambda_rcxyz": 0.0,
+    "lambda_target_loc": 0.0,
+    "lambda_vel": 0.0,
+    "layers": 8,
+    "log_interval": 1000,
+    "lr": 0.0001,
+    "lr_anneal_steps": 0,
+    "mask_frames": true,
+    "multi_target_cond": false,
+    "noise_schedule": "cosine",
+    "num_steps": 200000,
+    "overwrite": false,
+    "pcd_augment_jitter": true,
+    "pcd_augment_rot_z": true,
+    "pcd_n_points": 512,
+    "pred_len": 100,
+    "resume_checkpoint": "",
+    "save_dir": "/home/dcor/roeyron/trumans_utils/src/Experiments/cphoi_05011024_c15p100_v0",
+    "save_interval": 20000,
+    "seed": 42,
+    "sigma_small": true,
+    "spatial_condition": null,
+    "train_platform_type": "WandBPlatform",
+    "unconstrained": false,
+    "use_ema": true,
+    "wandb_project": "cphoi",
+    "weight_decay": 0.0,
+    "zero_prefix_prob": 0.0
+}
\ No newline at end of file
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