This paper introduces an advanced technique for monocular 3D scene understanding, utilizing deep learning to estimate depth from a single image. Traditional methods, such as stereo vision systems or ...
This work presents AFNet, a new multi-view and singleview depth fusion network AFNet for alleviating the defects of the existing multi-view methods, which will fail under noisy poses in real-world ...
Abstract: Transparent objects are commonly found in real life and industrial production. Unlike opaque objects, transparent objects are not easily identifiable in RGB images and often require depth ...
DepthAnything-AC is a robust monocular depth estimation (MDE) model fine-tuned from DepthAnything-V2, designed for zero-shot depth estimation under diverse and challenging environmental conditions, ...
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