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Author

Shohei Taniguchi

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Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation

This work formalizes target-mode coverage as target-mode coverage, the coverage of a predefined set of semantically specified modes, and proposes multi-axis max@K, a group-based reinforcement learning objective for improving it in diffusion-based T2I models.

Ku Onoda, Paavo Parmas, Hiroki Furuta et al. · 3 citations
Jul 2026

Visual Access Boundaries in Vision-Language Model Reasoning

A symbolic-attribute oracle shows that CoT can improve counting once ground-truth attributes are supplied as text, while a single-object probe-vs-decode check shows that hard attributes can be linearly recoverable from hidden states yet difficult for the model itself to output.

Hiroto Osaka, Shohei Taniguchi, Gouki Minegishi et al. · 1 citation
Open access Mar 2024

SSM Meets Video Diffusion Models: Efficient Long-Term Video Generation with Structured State Spaces

The ablation study shows that when using SSMs for temporal modeling, incorporating bidirectionality and selective scans enhances video generation performance, and SSM-based models incur lower computational cost to achieve the same Fréchet Video Distance as attention-based models.

Yuta Oshima, Shohei Taniguchi, Masahiro Suzuki et al. · 13 citations

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