AI RESEARCH
PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
arXiv CS.CV
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ArXi:2503.06684v3 Announce Type: replace Recent advances in diffusion-based text-to-image generation have nstrated promising results through visual condition control. However, existing ControlNet-like methods struggle with compositional visual conditioning - simultaneously preserving semantic fidelity across multiple heterogeneous control signals while maintaining high visual quality, where they employ separate control branches that often