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.· arXiv.org· 3 citations
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.
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.· New generation computing· 13 citations
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