3D Depth Estimation

12 papers with code • 1 benchmarks • 8 datasets

Image: monodepth2

Most implemented papers

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image


Although significant improvement has been achieved recently in 3D human pose estimation, most of the previous methods only treat a single-person case.

Putting People in their Place: Monocular Regression of 3D People in Depth

Arthur151/ROMP CVPR 2022

To do so, we exploit a 3D body model space that lets BEV infer shapes from infants to adults.

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

vita-epfl/monoloco ICCV 2019

We tackle the fundamentally ill-posed problem of 3D human localization from monocular RGB images.

Spherical View Synthesis for Self-Supervised 360 Depth Estimation

VCL3D/SphericalViewSynthesis 17 Sep 2019

This has led to the utilization of view synthesis as an indirect objective for learning depth estimation using efficient data acquisition procedures.

Monocular, One-stage, Regression of Multiple 3D People

Arthur151/ROMP ICCV 2021

Through a body-center-guided sampling process, the body mesh parameters of all people in the image are easily extracted from the Mesh Parameter map.

DeepVel: deep learning for the estimation of horizontal velocities at the solar surface

aasensio/deepvel 15 Mar 2017

These components are typically estimated using methods based on local correlation tracking.

CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth

jmfacil/camconvs CVPR 2019

Single-view depth estimation suffers from the problem that a network trained on images from one camera does not generalize to images taken with a different camera model.

A Deep Generative Model for Graph Layout

preddy5/A-Deep-Generative-Model-for-Graph-Layout 27 Apr 2019

To provide users with an intuitive way to navigate the layout design space, we present a technique to systematically visualize a graph in diverse layouts using deep generative models.

End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection

mileyan/pseudo-LiDAR_e2e CVPR 2020

Reliable and accurate 3D object detection is a necessity for safe autonomous driving.

Coherent Reconstruction of Multiple Humans from a Single Image

JiangWenPL/multiperson CVPR 2020

Our goal is to train a single network that learns to avoid these problems and generate a coherent 3D reconstruction of all the humans in the scene.