Get 3D scene from one image by using the distances between points in a latent space with SQLdepth
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Get 3D scene from one image by using the distances between points in a latent space with SQLdepth
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth Estimation
arXiv paper abstract https://arxiv.org/abs/2309.00526
arXiv PDF paper https://arxiv.org/pdf/2309.00526.pdf
… self-supervised monocular depth estimation has gained popularity with numerous applications in autonomous driving and robotics.
… introduce SQLdepth, a novel approach that can effectively learn fine-grained scene structures from motion.
… propose a novel Self Query Layer (SQL) to build a self-cost volume and infer depth from it, rather than inferring depth from feature maps.
The self-cost volume implicitly captures the intrinsic geometry of the scene within a single frame.
Each individual slice of the volume signifies the relative distances between points and objects within a latent space.
… Experimental results on KITTI and Cityscapes show that … method attains remarkable state-of-the-art performance … can surpass existing supervised methods by significant margins …
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