标题： XVerse：通过DiT调制实现身份和语义属性的一致多主体控制 显示英文标题

标题： XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation

摘要： 在文本到图像生成中，对主体身份和语义属性（姿态、风格、光照）实现细粒度控制，尤其是对于多个主体，通常会损害扩散变换器（DiTs）的可编辑性和连贯性。 许多方法会引入伪影或遭受属性纠缠。 为克服这些挑战，我们提出了一种新颖的多主体可控生成模型 XVerse。 通过将参考图像转换为针对特定标记的文本流调制偏移量，XVerse 允许对特定主体进行精确且独立的控制，而不会干扰图像潜在表示或特征。 因此，XVerse 提供了高保真、可编辑的多主体图像合成，并对每个主体的特性及语义属性具有强大的控制能力。 这一进展显著提升了个性化和复杂场景的生成能力。 显示英文摘要

摘要： Achieving fine-grained control over subject identity and semantic attributes (pose, style, lighting) in text-to-image generation, particularly for multiple subjects, often undermines the editability and coherence of Diffusion Transformers (DiTs). Many approaches introduce artifacts or suffer from attribute entanglement. To overcome these challenges, we propose a novel multi-subject controlled generation model XVerse. By transforming reference images into offsets for token-specific text-stream modulation, XVerse allows for precise and independent control for specific subject without disrupting image latents or features. Consequently, XVerse offers high-fidelity, editable multi-subject image synthesis with robust control over individual subject characteristics and semantic attributes. This advancement significantly improves personalized and complex scene generation capabilities.