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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.CV2025
Self-Supervised Learning for Transparent Object Depth Completion Using Depth from Non-Transparent Objects
Xianghui Fan, Zhaoyu Chen, Mengyang Pan +2
The perception of transparent objects is one of the well-known challenges in computer vision. Conventional depth sensors have difficulty in sensing the depth of transparent objects…
cs.CV2024★ 1 cited
TDCNet: Transparent Objects Depth Completion with CNN-Transformer Dual-Branch Parallel Network
Xianghui Fan, Chao Ye, Anping Deng +3
The sensing and manipulation of transparent objects present a critical challenge in industrial and laboratory robotics. Conventional sensors face challenges in obtaining the full d…