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AlayaWorld: Interactive Long-Horizon World Modeling - Full Technical Report (v1.1)· AlayaWorld:交互式长时世界建模

This report presents an improved version of AlayaWorld. While the backbone architecture, chunk-wise autoregressive generation scheme, and training data remain unchanged from the previous release, we substantially revise how conditioning signals are represented and integrated into the model. The new design is guided by a simple principle: conditioning signals should match the generated content as closely as possible in both latent representation and temporal structure. To this end, we make two major changes. First, we replace the previous depth-warping-based spatial memory with a streaming 3D point-cache renderer. Second, we redesign the conditioning pipeline so that visual conditions are encoded in the same causal-VAE latent space, with temporal statistics consistent with those of the gene

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AlayaWorld 交互式长时世界建模改进版报告

核心方法
引入流式 3D 点缓存渲染器替代深度变形空间记忆,重新设计条件管道使视条件与因果 VAE 潜在空间一致,并匹配时间结构
适合谁读
研究者 / 工程师
要解决的问题
改进 AlayaWorld 模型以增强条件信号的表示和整合,提高长时世界建模的准确性和交互性
关键实验
未提供
主要贡献
提高条件信号与生成内容在潜在表示和时间结构上的一致性,增强模型在长时交互式世界建模中的表现
意义与局限
提升了 AlayaWorld 模型的实用性和交互体验,但未提供实验结果验证具体改进效果
领域:cs.AI作者:AlayaWorld Team、Kaipeng Zhang、Chuanhao Li
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