ZoeDepth is a deep learning model for metric depth estimation from a single image. Please refer to our paper or github for more details.
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Depth estimation datasets are used to train a model to approximate the relative distance of every pixel in an image from the camera, also known as depth.
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Depth Anything is based on the DPT architecture, trained on ~62 million images, obtaining state-of-the-art results for both relative and absolute depth ...
Image to 3D with DPT + 3D Point Cloud.
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Depth estimation datasets are used to train a model to approximate the relative distance of every pixel in an image from the camera, also known as depth.
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This research paper proposes a Latent Diffusion Model for 3D (LDM3D) that generates both image and depth map data from a given text prompt.