activity
20192026
most cited360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume

7 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing 2024Show all

1 paper · 1 filter

cs.CV2024★ 1 cited

Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

Ning-Hsu Wang, Yu-Lun Liu

Accurately estimating depth in 360-degree imagery is crucial for virtual reality, autonomous navigation, and immersive media applications. Existing depth estimation methods designe…