arXiv 2609.31620 · cs.CV · 2026-09-25
FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders
Hongyang Du, Yunfei Xie, Junjie Ye, Jiawei Yang, Xiaoyan Cong, Haodong Zhang, Yongchao Huang, Haiyu Wu and 8 more
USC Physical Superintelligence (PSI) Lab
In latest · #85 Added on 2026-10-21
One-line takeaway
FuseReg learns regularised layer fusion to ease the reconstruction-generation trade-off in representation autoencoders.
FuseReg 用可训练的层融合加正则,缓解表征自编码器在重建和生成之间的取舍。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
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About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.