Author

Akihiro Sugimoto

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Preprint Oct 2026

Kingfisher: Fast Personalized Visual Autoregressive Generation via Scale-Aware Prompt-Conditioned Scale Decomposition

Personalized image generation has been extensively studied in diffusion models, often relying on subject-specific optimization of model weights, textual embeddings, LoRA modules, or adapters. In this work, we explore a different direction for fast personalization in visual autoregressive models. Our key observation is...

Dinh-Khoi Vo, Akihiro Sugimoto, Minh-Triet Tran et al. · 0 citations

Preprint Aug 2026

Fast and Compact 3D Gaussian Splatting with Polarized Opacity Prior

The proposed framework provides a simple and effective path toward fast and inherently compact 3DGS training, and leverages a synergistic design: an L2 reconstruction loss to provide error-proportional gradients that stabilize optimization, and a novel Polarized Opacity Prior to actively manage the Gaussian population.

Zi-Ming Wang, Kai-Wen Duan, Ko-Wei Huang et al. · 0 citations