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Histogram-constrained Image Generation
扩散模型遇上直方图约束,一举破解全局与局部平衡难题,图像生成控制更精准!
arXiv:2606.31683v1 Announce Type: cross Abstract: Diffusion models have emerged as a dominant paradigm in generative modeling, enabling high-fidelity …
扩散模型遇上直方图约束,一举破解全局与局部平衡难题,图像生成控制更精准!
arXiv:2606.31683v1 Announce Type: cross Abstract: Diffusion models have emerged as a dominant paradigm in generative modeling, enabling high-fidelity …
新型动态有向图约束数据调度方法,大幅提升LLM训练效率与收敛速度。
arXiv:2605.31164v1 Announce Type: cross Abstract: Training data plays a central role in large language models (LLMs) optimization, motivating extensiv…
新方法Controlla通过图约束潜在几何实现可控性学习,为生成模型中的控制能力提供理论框架。
arXiv:2605.16603v1 Announce Type: new Abstract: Controllable multimodal generation is commonly formulated as an inference-time conditioning problem us…