Webin Fig.1, where we visualize the depth, point cloud, and camera trajectory generated by our method on a real-world driving video. Our preliminary version was presented in NeurIPS 2024(Bian et al.2024b), where we propose an unsuper-vised learning framework for scale-consistent depth and pose estimation. In this paper, we i) add more techni- WebIn this paper, we propose SC-DepthV3 for addressing the challenges. Specifically, we introduce an external pretrained monocular depth estimation model for generating single …
HI-Net: Boosting Self-Supervised Indoor Depth Estimation via Pose …
WebAug 28, 2024 · We propose a geometry consistency constraint to enforce the scale-consistency of depth and ego-motion networks, leading to globally scale-consistent results. We propose a self-discovered mask for detecting dynamics and occlusions by the aforementioned geometry consistency constraint. Compared with other approaches, our … WebMar 27, 2024 · Users can individually annotate clusters based on canonical markers. However, the sctransform normalization reveals sharper biological distinctions compared … hoseasons driffield
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