titleStyleForge: Indoor Furniture Styling by Counterfactual Reasoning in a Hypergraph Field
authorsLingwei Dang, Shishuo Shang, Pan Liu, Jiajia Cheng, Ziyan Qiu, Zhenhao Zhang, Yufei Zhu, Shenghui Huang, Qingxin Xiao, Yun Hao, Juntong Li, Qingyao Wu
date2026-08-03
venuearXiv (preprint, not peer reviewed)
idarXiv:2608.01954
affiliationSouth China University of Technology
upvotes8 (Hugging Face Daily Papers, 2026-11-01)
linksabs pdf hf
abstractFixed-layout indoor furniture styling requires selecting assets that form a coherent room without changing the prescribed furniture categories, positions, orientations, or scales. Existing approaches typically retrieve each asset independently or rely on static local relations, making them prone to shape, material, and color conflicts after scene composition. We introduce StyleForge, a scene-level structured selection framework built on a dynamic hypergraph style field. A frozen multimodal large language model extracts structured style priors from an open-ended style request and the fixed layout, while StyleForge maintains a learnable candidate distribution for each furniture slot. Conditioned on the target style, the dynamic hypergraph style field adaptively activates and weights layout-induced hyperedges to capture higher-order dependencies among furniture. Counterfactual style preference learning then treats each candidate as a local substitution in the current style field and evaluates its contextual compatibility using Mahalanobis energies. Training alternates between optimizing the style field and the candidate logits. At inference, the model remains frozen and test-time training updates only room-specific candidate logits, progressively correcting cross-slot style conflicts as the global scene context evolves. Experiments on 3D-FRONT demonstrate state-of-the-art furniture retrieval and scene-level style coherence, producing more coherent fixed-layout furniture arrangements than object- and scene-level retrieval baselines.

cite

@misc{dang2026styleforge,
  title={StyleForge: Indoor Furniture Styling by Counterfactual Reasoning in a Hypergraph Field},
  author={Lingwei Dang and Shishuo Shang and Pan Liu and Jiajia Cheng and Ziyan Qiu and Zhenhao Zhang and Yufei Zhu and Shenghui Huang and Qingxin Xiao and Yun Hao and Juntong Li and Qingyao Wu},
  year={2026},
  eprint={2608.01954},
  archivePrefix={arXiv},
  url={https://arxiv.org/abs/2608.01954}
}