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Digging into contrastive learning for robust depth estimation with diffusion models
Recently, diffusion-based depth estimation methods have drawn widespread attention due
to their elegant denoising patterns and promising performance. However, they are typically …
to their elegant denoising patterns and promising performance. However, they are typically …
DepthMaster: Taming Diffusion Models for Monocular Depth Estimation
Monocular depth estimation within the diffusion-denoising paradigm demonstrates
impressive generalization ability but suffers from low inference speed. Recent methods …
impressive generalization ability but suffers from low inference speed. Recent methods …
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth Estimation
In the domain of multi-baseline stereo, the conventional understanding is that, in general,
increasing baseline separation substantially enhances the accuracy of depth estimation …
increasing baseline separation substantially enhances the accuracy of depth estimation …