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HunyuanWorld-Mirror is a versatile feed-forward model for comprehensive 3D geometric prediction. It integrates diverse geometric priors (**camera poses**, **calibrated intrinsics**, **depth maps**) and simultaneously generates various 3D representations (**point clouds**, **multi-view depths**, **camera parameters**, **surface normals**, **3D Gaussians**) in a single forward pass. ## ️ **HunyuanWorld-Mirror Introduction** ### Architecture HunyuanWorld-Mirror consists of two key components: **(1) Multi-Modal Prior Prompting**: A mechanism that embeds diverse prior modalities, including calibrated intrinsics, camera pose, and depth, into the feed-forward model. Given any subset of the available priors, we utilize several lightweight encoding layers to convert each modality into structured tokens. **(2) Universal Geometric Prediction**: A unified architecture capable of handling the full spectrum of 3D reconstruction tasks from camera and depth estimation to point map regression, surface normal estimation, and novel view synthesis.
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