Papers with Code 아카이브

3D Depth Estimation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

1

보존된 평가 기록

3

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/Arthur151/ROMP

공식 코드

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

https://github.com/Arthur151/Relative_Human

공식 코드

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

https://github.com/MMehdiMousavi/SuperCaustics

공식 코드

SuperCaustics: Real-time, open-source simulation of transparent objects for deep learning applications

https://github.com/Shreeyak/cleargrasp

공식 코드

ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation

https://github.com/aasensio/deepvel

공식 코드

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

https://github.com/azzarelli/wape

공식 코드

Towards a Robust Framework for NeRF Evaluation

https://github.com/galaxies99/transcg

공식 코드

TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline

https://github.com/mileyan/pseudo-LiDAR_e2e

공식 코드

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

https://github.com/mks0601/3DMPPE_POSENET_RELEASE

공식 코드

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

https://github.com/mks0601/3DMPPE_ROOTNET_RELEASE

공식 코드

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

https://github.com/vita-epfl/monoloco

공식 코드

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

https://github.com/yuchendoudou/tode

공식 코드

TODE-Trans: Transparent Object Depth Estimation with Transformer

https://github.com/Arthur151/CenterHMR

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

https://github.com/JiangWenPL/multiperson

Coherent Reconstruction of Multiple Humans from a Single Image

https://github.com/VCL3D/3D60

Spherical View Synthesis for Self-Supervised 360 Depth Estimation

https://github.com/VCL3D/SphericalViewSynthesis

Spherical View Synthesis for Self-Supervised 360 Depth Estimation

https://github.com/cai-jianfeng/ROMP_mindspore

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

https://github.com/faheinrich/moon_pose_estimation_setup

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

https://github.com/faheinrich/moon_pose_with_detectron2

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

https://github.com/jmfacil/camconvs

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

https://github.com/preddy5/A-Deep-Generative-Model-for-Graph-Layout

A Deep Generative Model for Graph Layout

https://github.com/trungmanhhuynh/Object-Detection-Localization

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

https://github.com/vita-epfl/monstereo

MonoLoco: Monocular 3D Pedestrian Localization and Uncertainty Estimation

https://github.com/zju3dv/smap

SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.