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Open access Oct 2026

OccTTA: Fast and Memory-Efficient Test-Time Adaptation for 3D Occupancy Prediction

3D semantic occupancy prediction (OCC) is a crucial task in vision-centric autonomous driving, focusing on reconstructing fine-grained 3D geometry and semantics of the scene surrounding the ego vehicle. Despite recent progress, OCC still faces a significant challenge in generalizing to real-world scenarios due to the u...

Pei-Xin Chen, Wei Zhang, Zi-Jian He et al. · 0 citations
Jul 2026

ARDepth: Auto-regressive Monocular Depth Estimation with Progressive Visual Conditioning

This work introduces ARDepth, which formulates depth estimation as structured auto-regressive generation, and produces structurally consistent depth predictions across scales, validating auto-regressive generation as a promising alternative paradigm for geometric modeling.

Zi-Jie Wang, Wei Zhang, Weiming Zhang et al. · 0 citations

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