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I safety benchmarks demonstrate CASG鈥檚 state-of-the-art performance, reducing the harmful rate by up to 15.4% compared to existing methods. Code is released at https://github.com/tmllab/2026_CVPR_CASG. Warning: This paper contains potentially offensive content. $\dagger$$\dagger$footnotetext: Correspondence to Tongliang Liu (tongliang.liu@sydney.edu.au) and Ziming Hong (hoongzm@gmail.com).
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Forget billion-scale datasets: EvoTok achieves state-of-the-art image tokenization for both understanding and generation using a residual evolution process trained on just 13M images.
Hallucinations in RL-based image editing and generation are tamed with FIRM, a new framework that trains robust reward models on curated datasets to provide more accurate guidance.
Current image editing models stumble when domain-specific knowledge is required, as revealed by a new benchmark spanning disciplines from natural science to social science.
