Self-supervised Scene Flow Estimation

Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.

Benchmarks archive 2025-07-28

1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

1 dataset whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

15 shown of 15 papers with code (20 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving
  1 Jul 2024 2 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Scene flow estimation predicts the 3D motion at each point in successive LiDAR scans.
• 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
  2 May 2022 2 repositories listed Syntology ran 0 of 16 samples · 16 unverified
  Our main contribution leverages learned flow and motion representations and combines a self-supervised backbone with a supervised 3D detection head.
• Self-Supervised Scene Flow Estimation with 4-D Automotive Radar
  2 Mar 2022 2 repositories listed Syntology ran 2 of 12 samples · 10 unverified
  Scene flow allows autonomous vehicles to reason about the arbitrary motion of multiple independent objects which is the key to long-term mobile autonomy.
• PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds
  27 Nov 2019 2 repositories listed Syntology ran 2 of 18 samples · 16 unverified
  We propose a novel end-to-end deep scene flow model, called PointPWC-Net, on 3D point clouds in a coarse-to-fine fashion.
• VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow
  28 Mar 2025 1 repository listed
  Scene flow estimation aims to recover per-point motion from two adjacent LiDAR scans.
• ICP-Flow: LiDAR Scene Flow Estimation with ICP
  27 Feb 2024 1 repository listed Syntology ran 8 of 9 samples · 1 unverified
  We incorporate this rigid-motion assumption into our design, where the goal is to associate objects over scans and then estimate the locally rigid transformations.
• FedRSU: Federated Learning for Scene Flow Estimation on Roadside Units
  23 Jan 2024 1 repository listed
  In this paper, we introduce FedRSU, an innovative federated learning framework for self-supervised scene flow estimation.
• ZeroFlow: Scalable Scene Flow via Distillation
  17 May 2023 1 repository listed Syntology ran 1 of 2 samples · 1 unverified
  Scene flow estimation is the task of describing the 3D motion field between temporally successive point clouds.
• Fast Neural Scene Flow
  18 Apr 2023 1 repository listed Syntology ran 0 of 2 samples · 2 unverified
  Neural Scene Flow Prior (NSFP) is of significant interest to the vision community due to its inherent robustness to out-of-distribution (OOD) effects and its ability to deal with dense lidar points.
• Neural Scene Flow Prior
  1 Nov 2021 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  A central innovation here is the inclusion of a neural scene flow prior, which uses the architecture of neural networks as a new type of implicit regularizer.
• Occlusion Guided Self-supervised Scene Flow Estimation on 3D Point Clouds
  10 Apr 2021 1 repository listed
  Understanding the flow in 3D space of sparsely sampled points between two consecutive time frames is the core stone of modern geometric-driven systems such as VR/AR, Robotics, and Autonomous driving.
• FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation
  19 Nov 2020 1 repository listed
  Estimating the 3D motion of points in a scene, known as scene flow, is a core problem in computer vision.
• Adversarial Self-Supervised Scene Flow Estimation
  1 Nov 2020 1 repository listed
  This work proposes a metric learning approach for self-supervised scene flow estimation.
• PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation
  1 Aug 2020 1 repository listed
  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.
• Just Go with the Flow: Self-Supervised Scene Flow Estimation
  1 Dec 2019 1 repository listed
  When interacting with highly dynamic environments, scene flow allows autonomous systems to reason about the non-rigid motion of multiple independent objects.

Syntology lines on 8 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.