HOComp: Interaction-Aware Human-Object Composition

NeurIPS 2025

This is the official repository for our paper:

📄 HOComp: Interaction-Aware Human-Object Composition
📚 Preprint available on arXiv

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📝 Abstract

HOComp is a novel framework for harmonizing foreground objects into human-centric backgrounds.
By leveraging a Flux.1 Kontext base model and a novel Sequence Concatenation strategy, the method achieves precise control over human–object interactions with high fidelity.

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🛠️ Custom Inference

To generate a specific interaction, provide background / foreground images, the interaction prompt, and the foreground bounding box:

python run_inference.py \
  --prompt "A young man holding a vintage camera" \
  --bg_path "examples/background.jpg" \
  --fg_path "examples/camera.png" \
  --box "[300 300 700 700]" 

📌 Citation

If you find our work helpful, please consider citing:

@article{liang2025hocomp,
  title={HOComp: Interaction-Aware Human-Object Composition},
  author={Dong Liang and Jinyuan Jia and Yuhao Liu and Rynson W. H. Lau},
  journal={arXiv preprint arXiv:2507.16813},
  year={2025}
}