Rolling Shutter Correction

Description from the archive archive 2025-07-28.

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

30 shown of 94 papers with code (216 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.

• PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
  13 Mar 2019 7 repositories listed Syntology ran 2 of 24 samples · 22 unverified · 22 pointer-only (licence)
  To date, the successful application of PointNet to point cloud registration has remained elusive.
• Learned Primal-dual Reconstruction
  20 Jul 2017 4 repositories listed
  We propose the Learned Primal-Dual algorithm for tomographic reconstruction.
• Real-time Power System State Estimation and Forecasting via Deep Neural Networks
  15 Nov 2018 3 repositories listed
  To bypass these hurdles, this paper advocates deep neural networks (DNNs) for real-time power system monitoring.
• Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network
  9 Aug 2018 3 repositories listed
  Because of their effectiveness in broad practical applications, LSTM networks have received a wealth of coverage in scientific journals, technical blogs, and implementation guides.
• UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
  24 May 2023 2 repositories listed
  To query a specific sharp frame (GS or RS), we embed the exposure time into STR and decode the embedded features pixel-by-pixel to recover a sharp frame.
• SMUG: Towards robust MRI reconstruction by smoothed unrolling
  14 Mar 2023 2 repositories listed
  To address this problem, we propose a novel image reconstruction framework, termed SMOOTHED UNROLLING (SMUG), which advances a deep unrolling-based MRI reconstruction model using a randomized smoothing (RS)-based robust…
• T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction
  8 Sep 2022 2 repositories listed
  Subsequently, we present a dynamic MRI reconstruction model based on UTNN and devise an efficient iterative optimization algorithm using ADMM, which is finally unfolded into the proposed T2LR-Net.
• End-to-end reconstruction meets data-driven regularization for inverse problems
  7 Jun 2021 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  We propose an unsupervised approach for learning end-to-end reconstruction operators for ill-posed inverse problems.
• Rolling-Unrolling LSTMs for Action Anticipation from First-Person Video
  4 May 2020 2 repositories listed
  The experiments show that the proposed architecture is state-of-the-art in the domain of egocentric videos, achieving top performances in the 2019 EPIC-Kitchens egocentric action anticipation challenge.
• Unrolling Ternary Neural Networks
  9 Sep 2019 2 repositories listed
  The computational complexity of neural networks for large scale or real-time applications necessitates hardware acceleration.
• What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention
  22 May 2019 2 repositories listed
  Our method is ranked first in the public leaderboard of the EPIC-Kitchens egocentric action anticipation challenge 2019.
• Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
  17 Oct 2018 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified
  We compare our model and learning procedure to other back-propagation through time alternatives (which also tend to be computationally expensive), including real-time recurrent learning, echo state networks, and…
• CLTune: A Generic Auto-Tuner for OpenCL Kernels
  19 Mar 2017 2 repositories listed
  For matrix-multiplication, we use CLTune to explore a parameter space of more than two-hundred thousand configurations, we show the need for device-specific tuning, and outperform the clBLAS library on NVIDIA, AMD and…
• SelfDRSC++: Self-Supervised Learning for Dual Reversed Rolling Shutter Correction
  21 Aug 2024 1 repository listed
  Subsequently, to effectively train the DRSC network, we propose a self-supervised learning strategy that ensures cycle consistency between input and reconstructed dual reversed RS images.
• Rolling Shutter Correction with Intermediate Distortion Flow Estimation
  9 Apr 2024 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Additionally, a multi-distortion flow prediction strategy is integrated to mitigate the issue of inaccurate flow estimation further.
• Stochastic Unrolled Federated Learning
  24 May 2023 1 repository listed
  We introduce Stochastic UnRolled Federated learning (SURF), a method that expands algorithm unrolling to federated learning in order to expedite its convergence.
• Neural Image Re-Exposure
  23 May 2023 1 repository listed
  In this work, we aim to re-expose the captured photo in post-processing to provide a more flexible way of addressing those issues within a unified framework.
• A Compound Gaussian Least Squares Algorithm and Unrolled Network for Linear Inverse Problems
  18 May 2023 1 repository listed
  The first approach is an iterative algorithm that minimizes a regularized least squares objective function where the regularization is based on a compound Gaussian prior distribution.
• Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
  17 May 2023 1 repository listed
  We study whether multiple large language models (LLMs) can autonomously improve each other in a negotiation game by playing, reflecting, and criticizing.
• Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction
  31 Mar 2023 1 repository listed
  This paper addresses the problem of rolling shutter correction in complex nonlinear and dynamic scenes with extreme occlusion.
• A Comparative Study of Deep Learning and Iterative Algorithms for Joint Channel Estimation and Signal Detection in OFDM Systems
  7 Mar 2023 1 repository listed
  Joint channel estimation and signal detection (JCESD) is crucial in orthogonal frequency division multiplexing (OFDM) systems, but traditional algorithms perform poorly in low signal-to-noise ratio (SNR) scenarios.
• Reachability Analysis of Neural Network Control Systems
  28 Jan 2023 1 repository listed
  We then reveal the working principles of applying Lipschitzian optimisation on NNCS verification and illustrate it by verifying an adaptive cruise control model.
• Learning Deep MRI Reconstruction Models from Scratch in Low-Data Regimes
  6 Jan 2023 1 repository listed
  To alleviate error propagation, PSFNet combines its SS and SG priors via a novel parallel-stream architecture with learnable fusion parameters.
• EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction
  1 Jan 2023 1 repository listed
  The simulator permits the use of inexpensive cameras with long exposure to capture high-quality GS images.
• Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
  1 Jan 2023 1 repository listed
  Rolling shutter correction (RSC) is becoming increasingly popular for RS cameras that are widely used in commercial and industrial applications.
• Deep Homography Mixture for Single Image Rolling Shutter Correction
  1 Jan 2023 1 repository listed
  In this work, we adopt a more straightforward method to learn deep homography mixture motion between an RS image and its corresponding GS image, without large solution space or strict restrictions on image features.
• DEQ-MPI: A Deep Equilibrium Reconstruction with Learned Consistency for Magnetic Particle Imaging
  26 Dec 2022 1 repository listed
  The ill-posed reconstruction problem can be solved by simultaneously enforcing data consistency based on the SM and regularizing the solution based on an image prior.
• ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
  9 Dec 2022 1 repository listed
  Recent deep learning methods have achieved promising results in image shadow removal.
• Learning Detail-Structure Alternative Optimization for Blind Super-Resolution
  3 Dec 2022 1 repository listed
  Recent blind SR methods suggest to reconstruct SR images relying on blur kernel estimation.
• pyGSL: A Graph Structure Learning Toolkit
  7 Nov 2022 1 repository listed Syntology ran 0 of 11 samples · 11 unverified
  Implementations of differentiable graph structure learning models are written in PyTorch, allowing us to leverage the rich software ecosystem that exists e.

Syntology lines on 5 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.