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Author

Jiarui Cao

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Preprint Aug 2026

Drift Variation Autoencoder: Unifying Generation and Representation Learning through Conditional Posterior Flow Matching

This work takes the corresponding posterior $P(X\mid C)$ as the common statistical object for conditional generation and generatively sufficient representation learning as the common statistical object for conditional generation and generatively sufficient representation learning.

Jiarui Cao · 0 citations
2026

Martian DEM Void Filling With Orientation-Guided Diffusion Transformer and Topographic Constraints

Mars exploration plays a crucial role in deep-space studies and requires high-quality digital elevation models (DEMs) for terrain analysis, landing site evaluation, and rover navigation. However, Martian DEMs frequently contain voids due to sparse observations and stereo matching errors, which significantly limit their...

Jun-Hao Xu, Jiarui Cao, Rong Huang et al. · 0 citations
Open access Jul 2026

Monocular 3D Reconstruction for Martian Terrain Based on Diffusion Model

Abstract. High-precision digital terrain models (DTMs) are important for Mars explorations and research, providing indispensable spatial information for landing site assessment, rover path planning, and surface environment analysis. However, challenges such as high-resolution stereo data scarcity and complex atmospheri...

Jiarui Cao, Rong Huang, Yusheng Xu et al. · 0 citations

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