Scene Flow Estimation
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Greatest papers with code
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
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.
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.
SENSE: a Shared Encoder Network for Scene-flow Estimation
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 OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION SEMANTIC SEGMENTATION
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
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
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
• chenxuluo/EPC
•
Performance on the five tasks of depth estimation, optical flow estimation, odometry, moving object segmentation and scene flow estimation shows that our approach outperforms other SoTA methods.
DEPTH ESTIMATION OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION SEMANTIC SEGMENTATION
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
ECCV 2018
• FilippoAleotti/Dwarf-Tensorflow
•
Making use of the estimated occlusions, we also show improved results on motion segmentation and scene flow estimation.
MOTION SEGMENTATION OPTICAL FLOW ESTIMATION SCENE FLOW ESTIMATION
SceneEDNet: A Deep Learning Approach for Scene Flow Estimation
This paper introduces a first effort to apply a deep learning method for direct estimation of scene flow by presenting a fully convolutional neural network with an encoder-decoder (ED) architecture.