To the best of the authors' knowledge, this paper demonstrates real-time monocular depth estimation using a deep neural network with the highest throughput on ...

Aug 21, 2023 · This paper endeavors to surmount this challenge by proposing two efficient and lightweight architectures, RT-MonoDepth and RT-MonoDepth-S, ...

Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.

Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer. Requires an NVIDIA GPU, Python 2 or 3, CUDA CuDNN, ...

Aug 4, 2023 · It's a native application that reads from any available camera on your system and processes it locally using a deep learning model for ...

Training a depth estimation model using pixel-perfect synthetic data can resolve most of these issues but introduces the problem of domain bias. This is the ...

Jun 11, 2024 · TD Depth Anything — real time monocular depth estimation Link to main site.

May 25, 2021 · We show that our model, using only DIW as the supervisory dataset, achieves 0.1156 WHDR on DIW with 2.6M parameters and reaches 37 FPS on a ...

On this repository, we'll learn how to use MiDaS to estimate the depth of a room in "real-time" (we'll use a video to emulate a real-time performance and we'll ...

Via a series of ablation studies and experiments, it is validated that our model can efficiently performs real-time depth prediction with only 0.32M parameters, ...