Author

J. Ni

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Preprint Sep 2026

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion latents, integrating strong visual representations into image generation. However, RAEs still need to decide which encoder layers form the shared latent space for the generator and pixel decoder. This choi...

Hong-Yang Du, Yun-Fei Xie, Jun-Jie Ye et al. · 0 citations

Preprint Sep 2026

SenseNova-U1.5: Towards Native Unified Visual Intelligence

Native unified modelling is position as a promising path towards systems that perceive, reason and create within a fully end-to-end framework through SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.

Hai-Wen Diao, Jia-Hao Wang, Chen-Jing Ding et al. · 2 citations