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.
🔗 BibTeX
If you find HunyuanWorld-Mirror useful for your research and applications, please cite using this BibTeX:
@article{liu2025worldmirror,
title={WorldMirror: Universal 3D World Reconstruction with Any-Prior Prompting},
author={Liu, Yifan and Min, Zhiyuan and Wang, Zhenwei and Wu, Junta and Wang, Tengfei and Yuan, Yixuan and Luo, Yawei and Guo, Chunchao},
journal={arXiv preprint arXiv:2510.10726},
year={2025}
}
Acknowledgements
We sincerely thank the authors and contributors of
VGGT
,
Fast3R
,
CUT3R
, and
DUSt3R
for their outstanding open-source work and pioneering research.
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