qxiaofan/awesome-CVPR2021-3d-papers-with-codes

CVPR2021中3D视觉相关的论文与代码

CVPR 2021 论文和开源项目合集(Papers with Code)

3D视觉相关：

1、主要记录计算机视觉、VSLAM、点云、结构光、机械臂抓取、三维重建、深度学习、自动驾驶等前沿paper与文章

2、记录3D视觉、VSLAM、计算机视觉的干货资料

【CVPR 2021 中3D视觉相关的论文开源目录】

• 3D目标检测(3D Object Detection)

• 3D语义分割(3D Semantic Segmentation)

• 3D目标跟踪(3D Object Tracking)

• 3D点云配准(3D Point Cloud Registration)

• 3D点云补全(3D-Point-Cloud-Completion)

• 6D位姿估计(6D Pose Estimation)

• 深度估计(Depth Estimation)

• 2D/3D人体姿态估计(2D/3D Human Pose Estimation)

3D目标检测(3D Object Detection)

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

• Paper: None
• Code: https://github.com/Vegeta2020/SE-SSD

Center-based 3D Object Detection and Tracking

• Paper: https://arxiv.org/abs/2006.11275
• Code: https://github.com/tianweiy/CenterPoint

Categorical Depth Distribution Network for Monocular 3D Object Detection

• Paper: https://arxiv.org/abs/2103.01100
• Code: None

3D语义分割(3D Semantic Segmentation)

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges

• Homepage: https://github.com/QingyongHu/SensatUrban
• Paper: http://arxiv.org/abs/2009.03137
• Code: https://github.com/QingyongHu/SensatUrban
• Dataset: https://github.com/QingyongHu/SensatUrban

3D目标跟踪(3D Object Trancking)

Center-based 3D Object Detection and Tracking

• Paper: https://arxiv.org/abs/2006.11275
• Code: https://github.com/tianweiy/CenterPoint

3D点云配准(3D Point Cloud Registration)

PointDSC: Robust Point Cloud Registration using Deep Spatial Consistency

• Paper: https://arxiv.org/abs/2103.05465
• Code: https://github.com/XuyangBai/PointDSC

PREDATOR: Registration of 3D Point Clouds with Low Overlap

• Paper: https://arxiv.org/abs/2011.13005
• Code: https://github.com/ShengyuH/OverlapPredator

3D点云补全(3D Point Cloud Completion)

Style-based Point Generator with Adversarial Rendering for Point Cloud Completion

• Paper: https://arxiv.org/abs/2103.02535
• Code: None

6D位姿估计(6D Pose Estimation)

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

• Paper: http://arxiv.org/abs/2102.12145
• code: https://git.io/GDR-Net

FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

• Paper: https://arxiv.org/abs/2103.02242
• Code: https://github.com/ethnhe/FFB6D

深度估计

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation

• Paper: https://arxiv.org/abs/2103.02396
• Code: None

Depth from Camera Motion and Object Detection

• Paper: https://arxiv.org/abs/2103.01468
• Code: https://github.com/griffbr/ODMD
• Dataset: https://github.com/griffbr/ODMD

2D/3D人体姿态估计(2D/3D Human Pose Estimation)

HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation

• Homepage: https://jeffli.site/HybrIK/
• Paper: https://arxiv.org/abs/2011.14672
• Code: https://github.com/Jeff-sjtu/HybrIK