Abstract: Over the past few years, self-supervised monocular depth estimation has received widespread attention. Most efforts focus on designing different types of network architectures and loss ...
Abstract: We propose a semi-direct monocular visual odometry algorithm that is precise, robust, and faster than current state-of-the-art methods. The semi-direct approach eliminates the need of costly ...
This repository includes an official implementation of the paper MonoCD: Monocular 3D Object Detection with Complementary Depths based on the excellent work MonoFlex. In this work, we first point out ...
We present DepthFM, a state-of-the-art, versatile, and fast monocular depth estimation model. DepthFM is efficient and can synthesize realistic depth maps within a single inference step. Beyond ...
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