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Scene Flow Estimation is the task of obtaining 3D structure and 3D motion of dynamic scenes, which is crucial to environment perception, e.g., in the context of autonomous navigation.

Source: Self-Supervised Monocular Scene Flow Estimation

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Datasets

Greatest papers with code

Self-Supervised Monocular Scene Flow Estimation

CVPR 2020 visinf/self-mono-sf

Our model achieves state-of-the-art accuracy among unsupervised/self-supervised learning approaches to monocular scene flow, and yields competitive results for the optical flow and monocular depth estimation sub-tasks.

MONOCULAR DEPTH ESTIMATION OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION SELF-SUPERVISED LEARNING

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

ECCV 2018 NVlabs/learningrigidity

Estimation of 3D motion in a dynamic scene from a temporal pair of images is a core task in many scene understanding problems.

OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION SCENE UNDERSTANDING

MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences

ICCV 2019 xingyul/meteornet

Understanding dynamic 3D environment is crucial for robotic agents and many other applications.

ACTION RECOGNITION SCENE FLOW ESTIMATION SEMANTIC SEGMENTATION

PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation

ECCV 2020 DylanWusee/PointPWC

We propose a novel end-to-end deep scene flow model, called PointPWC-Net, that directly processes 3D point cloud scenes with large motions in a coarse-to-fine fashion.

SCENE FLOW ESTIMATION

Adversarial Self-Supervised Scene Flow Estimation

1 Nov 2020DylanWusee/PointPWC

This work proposes a metric learning approach for self-supervised scene flow estimation.

METRIC LEARNING SCENE FLOW ESTIMATION

PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds

27 Nov 2019DylanWusee/PointPWC

We propose a novel end-to-end deep scene flow model, called PointPWC-Net, on 3D point clouds in a coarse-to-fine fashion.

SCENE FLOW ESTIMATION

HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds

CVPR 2019 laoreja/HPLFlowNet

We present a novel deep neural network architecture for end-to-end scene flow estimation that directly operates on large-scale 3D point clouds.

SCENE FLOW ESTIMATION

A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation

CVPR 2016 HKBU-HPML/FADNet

By combining a flow and disparity estimation network and training it jointly, we demonstrate the first scene flow estimation with a convolutional network.

DISPARITY ESTIMATION OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION

SENSE: a Shared Encoder Network for Scene-flow Estimation

ICCV 2019 NVlabs/SENSE

We introduce a compact network for holistic scene flow estimation, called SENSE, which shares common encoder features among four closely-related tasks: optical flow estimation, disparity estimation from stereo, occlusion estimation, and semantic segmentation.

DISPARITY ESTIMATION OCCLUSION ESTIMATION OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION SEMANTIC SEGMENTATION

Weakly Supervised Learning of Rigid 3D Scene Flow

17 Feb 2021zgojcic/Rigid3DSceneFlow

We propose a data-driven scene flow estimation algorithm exploiting the observation that many 3D scenes can be explained by a collection of agents moving as rigid bodies.

AUTONOMOUS DRIVING SCENE FLOW ESTIMATION SCENE UNDERSTANDING