jspenmar/slowtv_monodepth
Official repository for the ICCV2023 paper "Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV"
This project helps computer vision researchers and developers estimate the depth of objects in a single image. You input a standard 2D image or video frame, and it outputs a corresponding depth map, showing how far each part of the scene is from the camera. This is particularly useful for those working on 3D reconstruction and scene understanding without relying on expensive ground-truth depth data.
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Use this if you need to generate accurate depth maps from single images, especially when ground-truth depth data for training is scarce or unavailable.
Not ideal if your primary goal is to perform 3D reconstruction using multiple views or stereo vision, or if you already have access to high-quality ground-truth depth sensors.
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Python
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Last pushed
Mar 05, 2024
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