Researchers from the University of Tartu Institute of Physics have developed a novel method for enhancing the quality of three-dimensional images by increasing the depth of focus in holograms fivefold ...
We present DepthMaster, a tamed single-step diffusion model that customizes generative features in diffusion models to suit the discriminative depth estimation task. We introduce a Feature Alignment ...
Image credit: SpaceTracker / Ammar A. Used unaltered for news reporting and scientific analysis under fair-use doctrine (17 U.S.C. § 107). All rights retained by the original creator. The image ...
Abstract: Recent advances in learning-based methods have markedly enhanced the capabilities of image compression. However, these methods struggle with high bit-depth volumetric medical images, facing ...
Abstract: This study validates a fall detection algorithm that is effective for multi-directional falls. Automatically detecting falls in elderly individuals is a critical issue in the fields of image ...
We present ApDepth, a diffusion model, and associated fine-tuning protocol for monocular depth estimation. Based on Marigold. Its core innovation lies in addressing the deficiency of diffusion models ...
uncertainty estimators or confidence metrics. Uncertainty estimators are a small minority of the research. However, they have the potential to be the most useful because they estimate disparity ...
The wide field of view of fisheye cameras introduces significant image distortion, making accurate depth estimation more challenging compared to pinhole camera models. This paper proposes a fisheye ...
Stereo depth estimation plays a crucial role in computer vision by allowing machines to infer depth from two images. This capability is vital for autonomous driving, robotics, and augmented reality ...
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