Media Summary: This work proposes a novel model and dataset for 3D Authors: Mehl, Lukas*; Jahedi, Azin; Schmalfuss, Jenny; Bruhn, Andrés Description: Recently, neural network for Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments,

Temporal Scene Flow Estimation - Detailed Analysis & Overview

This work proposes a novel model and dataset for 3D Authors: Mehl, Lukas*; Jahedi, Azin; Schmalfuss, Jenny; Bruhn, Andrés Description: Recently, neural network for Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments, Check the following link, and stay tuned with us! Code: Paper: ... [CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for

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Temporal Scene Flow Estimation
Object Scene Flow for Autonomous Vehicles
FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation
M-FUSE: Multi-frame Fusion for Scene Flow Estimation
Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation (CVPR 2025 Talk)
DTF: Deep Temporal Fusion for Scene Flow Using a Learnable Motion Model and Occlusions - WACV 2021
Just Go With the Flow: Self-Supervised Scene Flow Estimation
[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (5-min talk)
[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (1 min teaser)
[NeurIPS'25 Spotlight] DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method
PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds
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Temporal Scene Flow Estimation

Temporal Scene Flow Estimation

Temporal Scene Flow Estimation

Object Scene Flow for Autonomous Vehicles

Object Scene Flow for Autonomous Vehicles

This work proposes a novel model and dataset for 3D

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

CVPR 2021 Oral Presentation.

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

... turn improves the

M-FUSE: Multi-frame Fusion for Scene Flow Estimation

M-FUSE: Multi-frame Fusion for Scene Flow Estimation

Authors: Mehl, Lukas*; Jahedi, Azin; Schmalfuss, Jenny; Bruhn, Andrés Description: Recently, neural network for

Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation (CVPR 2025 Talk)

Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation (CVPR 2025 Talk)

You can find the paper here: https://arxiv.org/pdf/2503.04718.

DTF: Deep Temporal Fusion for Scene Flow Using a Learnable Motion Model and Occlusions - WACV 2021

DTF: Deep Temporal Fusion for Scene Flow Using a Learnable Motion Model and Occlusions - WACV 2021

https://av.dfki.de/ Video presentation for our paper "A Deep

Just Go With the Flow: Self-Supervised Scene Flow Estimation

Just Go With the Flow: Self-Supervised Scene Flow Estimation

Authors: Himangi Mittal, Brian Okorn, David Held Description: When interacting with highly dynamic environments,

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (5-min talk)

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (5-min talk)

Title: Self-Supervised Monocular

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (1 min teaser)

[CVPR 2020] Self-Supervised Monocular Scene Flow Estimation (1 min teaser)

Title: Self-Supervised Monocular

[NeurIPS'25 Spotlight] DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method

[NeurIPS'25 Spotlight] DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method

Check the following link, and stay tuned with us! Code: https://github.com/Kin-Zhang/DeltaFlow Paper: ...

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

[CVPR 2021] PV-RAFT: Point-Voxel Correlation Fields for

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation

... turn improves the