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- .gitattributes +67 -24
- README.MD +94 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/airplane.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/alarmclock.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/apple.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/banana.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/binoculars.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/body.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/bowl.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/camera.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/coffeemug.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cubelarge.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cubemedium.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cubemiddle.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cubesmall.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cup.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cylinderlarge.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cylindermedium.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/cylindersmall.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/doorknob.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/duck.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/elephant.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/eyeglasses.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/flashlight.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/flute.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/fryingpan.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/gamecontroller.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/hammer.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/hand.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/headphones.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/knife.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/lightbulb.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/mouse.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/mug.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/phone.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/piggybank.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/pyramidlarge.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/pyramidmedium.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/pyramidsmall.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/rubberduck.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/scissors.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/spherelarge.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/spheremedium.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/spheresmall.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/stamp.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/stanfordbunny.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/stapler.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/table.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/teapot.ply +3 -0
- datasets/GRAB_RETARGETED_compressed/contact_meshes/toothbrush.ply +3 -0
.gitattributes
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datasets/GRAB_RETARGETED_compressed/contact_meshes/airplane.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/coffeemug.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/cubelarge.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/cubemedium.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/cubesmall.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/cup.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/doorknob.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/duck.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/elephant.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/eyeglasses.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/flashlight.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/flute.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/fryingpan.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/gamecontroller.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/hammer.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/headphones.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/knife.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/scissors.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/spherelarge.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/stamp.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/stanfordbunny.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/stapler.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/table.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/toothpaste.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/toruslarge.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/torusmedium.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/train.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/watch.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/waterbottle.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/wineglass.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/contact_meshes/wristwatch.ply filter=lfs diff=lfs merge=lfs -text
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datasets/GRAB_RETARGETED_compressed/female/s3.ply filter=lfs diff=lfs merge=lfs -text
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README.MD
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| 1 |
+
# HOIDiNi: Human–Object Interaction through Diffusion Noise Optimization
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| 2 |
+
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| 3 |
+
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| 4 |
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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.
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| 5 |
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|
| 6 |
+
[](https://hoidini.github.io/)
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| 7 |
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[](https://arxiv.org/abs/2506.15625)
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| 8 |
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[](https://youtu.be/lN1260WEe7U)
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| 9 |
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[](https://www.python.org/)
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| 10 |
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[](https://hydra.cc/)
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| 11 |
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[](https://black.readthedocs.io/en/stable/)
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| 12 |
+
[](LICENSE)
|
| 13 |
+
|
| 14 |
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<img src="assets/teaser.png" alt="HOIDiNi teaser" width="800"/>
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| 15 |
+
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| 16 |
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## 📜 TODO List
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| 17 |
+
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| 18 |
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- [x] Release the main code
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- [x] Release the pretrained model
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| 20 |
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- [ ] Release evaluation code
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| 21 |
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| 22 |
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<!-- ## 💻 Demo
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| 23 |
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<a href="https://hoidini.github.io/static/figures/results1.mp4">
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| 24 |
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<img src="assets/teaser.png" alt="Demo" width="600"/>
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| 25 |
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</a> -->
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| 26 |
+
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| 27 |
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## 📥 Data Preparation
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| 28 |
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- Ensure dataset paths are set as below (GRAB/HumanML3D etc.).
|
| 29 |
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- Configure dataset locations via environment variables or edit `hoidini/resource_paths.py`:
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| 30 |
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| 31 |
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```bash
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| 32 |
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export GRAB_ORIG_DATA_PATH=/abs/path/to/GRAB/original
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| 33 |
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export GRAB_DATA_PATH=/abs/path/to/GRAB/retargeted
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export HUMANML3D_DATASET_PATH=/abs/path/to/HumanML3D
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| 35 |
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export MANO_SMPLX_VERTEX_IDS_PATH=/abs/path/to/MANO_SMPLX_vertex_ids.pkl
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| 36 |
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export OMOMO_DATA_PATH=/abs/path/to/OMOMO
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| 37 |
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```
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| 38 |
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| 39 |
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SMPL/SMPL-X model files are required by dependent components.
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| 40 |
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| 41 |
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| 42 |
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## ⚙️ Setups
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| 43 |
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Recommended: create a fresh Conda env and install from `requirements.txt`.
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| 44 |
+
|
| 45 |
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```bash
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| 46 |
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conda create -n hoidini python=3.11
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| 47 |
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conda activate hoidini
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| 48 |
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pip install -r requirements.txt
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| 49 |
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```
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| 50 |
+
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| 51 |
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Then set the `PYTHONPATH`:
|
| 52 |
+
|
| 53 |
+
```bash
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| 54 |
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cd /path/to/hoidini
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| 55 |
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export PYTHONPATH=$(pwd)
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| 56 |
+
```
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| 57 |
+
|
| 58 |
+
Run inference (Hydra, defaults in `hoidini/configs/sampling_mdm.yaml`):
|
| 59 |
+
|
| 60 |
+
```bash
|
| 61 |
+
python -m hoidini.inference_hoi_model \
|
| 62 |
+
out_dir=/abs/path/to/results \
|
| 63 |
+
model_path=/abs/path/to/checkpoints/model000020000.pt \
|
| 64 |
+
use_dno=true anim_save=true guidance_param=1.5
|
| 65 |
+
```
|
| 66 |
+
|
| 67 |
+
Notes:
|
| 68 |
+
- Tune `batch_size_gen`,`batch_size_dataset`,`n_simplify_hands`,`n_simplify_object` as needed.
|
| 69 |
+
- When `anim_save=true`, results are exported as `.blend` alongside `.pickle` artifacts.
|
| 70 |
+
|
| 71 |
+
## 📊 Training & Evaluation
|
| 72 |
+
- HOIDiNi evaluation utilities (statistical metrics,action recognition) are under `hoidini/eval/`.
|
| 73 |
+
- Additional training/evaluation docs will be released.
|
| 74 |
+
|
| 75 |
+
## 🖼 Visualization
|
| 76 |
+
Blender-based visualization is integrated in `hoidini/blender_utils/visualize_hoi_animation.py` and is triggered automatically when `anim_save=true`.
|
| 77 |
+
|
| 78 |
+
## 🤝 Citation
|
| 79 |
+
|
| 80 |
+
If you find this repository useful for your work, please consider citing:
|
| 81 |
+
|
| 82 |
+
```bibtex
|
| 83 |
+
@article{ron2025hoidini,
|
| 84 |
+
title={HOIDiNi: Human-Object Interaction through Diffusion Noise Optimization},
|
| 85 |
+
author={Ron, Roey and Tevet, Guy and Sawdayee, Haim and Bermano, Amit H},
|
| 86 |
+
journal={arXiv preprint arXiv:2506.15625},
|
| 87 |
+
year={2025}
|
| 88 |
+
}
|
| 89 |
+
```
|
| 90 |
+
|
| 91 |
+
## 🙏 Acknowledgements
|
| 92 |
+
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.
|
| 93 |
+
|
| 94 |
+
|
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|
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|
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datasets/GRAB_RETARGETED_compressed/contact_meshes/spheresmall.ply
ADDED
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ADDED
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datasets/GRAB_RETARGETED_compressed/contact_meshes/stanfordbunny.ply
ADDED
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datasets/GRAB_RETARGETED_compressed/contact_meshes/stapler.ply
ADDED
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datasets/GRAB_RETARGETED_compressed/contact_meshes/table.ply
ADDED
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datasets/GRAB_RETARGETED_compressed/contact_meshes/teapot.ply
ADDED
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datasets/GRAB_RETARGETED_compressed/contact_meshes/toothbrush.ply
ADDED
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