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cs.CV2026
GIFT: Geometry-Invariant Fine-Tuning for Non-Lambertian Monocular Depth Estimation
Xianghui Fan, Zhaoyu Chen, Bingqian Wu +6
Monocular depth foundation models, benefiting from large-scale synthetic training data, have demonstrated strong generalization. However, they often hallucinate depth on non-Lamber…
cs.CV2026
Cross-Modal RGB-D Fusion Transformer for 6D Pose Estimation of Non-Cooperative Spacecraft with Stereo-Derived Depth
Yongliang Zhen, Bo LÜ, Hang Yang +1
On-orbit servicing and active debris removal involving non-cooperative spacecraft require reliable pose estimation to supply accurate position and orientation data for autonomous v…