Video Denoising

Benchmarks archive 2025-07-28

12 leaderboard tables shown for this task, 12 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. 10 shown of 12 until expanded.

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

7 datasets 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 40 papers with code (89 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.

• FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation
  1 Jul 2019 5 repositories listed Syntology ran 2 of 2 samples · 0 unverified
  In this paper, we propose a state-of-the-art video denoising algorithm based on a convolutional neural network architecture.
• Recurrent Video Restoration Transformer with Guided Deformable Attention
  5 Jun 2022 4 repositories listed Syntology ran 7 of 14 samples · 7 unverified · 5 pointer-only (licence)
  Specifically, RVRT divides the video into multiple clips and uses the previously inferred clip feature to estimate the subsequent clip feature.
• Video Enhancement with Task-Oriented Flow
  24 Nov 2017 4 repositories listed
  Many video enhancement algorithms rely on optical flow to register frames in a video sequence.
• NeRV: Neural Representations for Videos
  26 Oct 2021 3 repositories listed Syntology ran 7 of 10 samples · 3 unverified · 10 pointer-only (licence)
  In contrast, with NeRV, we can use any neural network compression method as a proxy for video compression, and achieve comparable performance to traditional frame-based video compression approaches (H.
• Learning Spatial and Spatio-Temporal Pixel Aggregations for Image and Video Denoising
  26 Jan 2021 3 repositories listed
  We present a spatial pixel aggregation network and learn the pixel sampling and averaging strategies for image denoising.
• Modular proximal optimization for multidimensional total-variation regularization
  3 Nov 2014 3 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  We study \emph{TV regularization}, a widely used technique for eliciting structured sparsity.
• Deep Video Inpainting
  5 May 2019 2 repositories listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  Video inpainting aims to fill spatio-temporal holes with plausible content in a video.
• Learning Deformable Kernels for Image and Video Denoising
  15 Apr 2019 2 repositories listed
  Most of the classical denoising methods restore clear results by selecting and averaging pixels in the noisy input.
• Non-Local Video Denoising by CNN
  30 Nov 2018 2 repositories listed
  To the best of our knowledge, this is the first successful application of a CNN to video denoising.
• DynamiCtrl: Rethinking the Basic Structure and the Role of Text for High-quality Human Image Animation
  27 Mar 2025 1 repository listed
  To address these issues, we propose DynamiCtrl, a novel framework for human animation in video DiT architecture.
• Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising
  16 Dec 2024 1 repository listed
  This results in suboptimal utilization of both inter-frame and intra-frame information, and it also neglects the potential of optical flow alignment under self-supervised conditions, leading to biased and insufficient…
• Progressive Autoregressive Video Diffusion Models
  10 Oct 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverified
  In this work, we introduce a more natural formulation of autoregressive long video generation by revisiting the noise level assumption in video diffusion models.
• Learning Truncated Causal History Model for Video Restoration
  4 Oct 2024 1 repository listed Syntology ran 7 of 12 samples · 5 unverified
  In this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing video restoration.
• Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers
  17 Sep 2024 1 repository listed
  Recent advancements in deep learning have shown impressive results in image and video denoising, leveraging extensive pairs of noisy and noise-free data for supervision.
• Image Denoising Using Green Channel Prior
  12 Aug 2024 1 repository listed
  Furthermore, to enhance the adaptivity of GCP-ID to various image contents, we cast the noise estimation problem into a classification task and train an effective estimator based on convolutional neural networks (CNNs).
• IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth Generation
  15 Jul 2024 1 repository listed
  First, to enable dual-modal generation and maximize the information exchange between video and depth generation, we propose a unified dual-modal U-Net, a parameter-sharing framework for joint video and depth denoising,…
• DiffIR2VR-Zero: Zero-Shot Video Restoration with Diffusion-based Image Restoration Models
  1 Jul 2024 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)
  This paper introduces a method for zero-shot video restoration using pre-trained image restoration diffusion models.
• Color Image Denoising Using The Green Channel Prior
  13 Feb 2024 1 repository listed
  In this paper, we propose a simple and effective one step GCP-based image denoising (GCP-ID) method, which aims to exploit the GCP for denoising in the sRGB space by integrating it into the classic nonlocal transform…
• Toward Accurate and Temporally Consistent Video Restoration from Raw Data
  25 Dec 2023 1 repository listed
  Extensive experiments demonstrate the leading VJDD performance of our method in term of restoration accuracy, perceptual quality and temporal consistency.
• Learning in Deep Factor Graphs with Gaussian Belief Propagation
  24 Nov 2023 1 repository listed
  We propose an approach to do learning in Gaussian factor graphs.
• Real-time Controllable Denoising for Image and Video
  29 Mar 2023 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)
  Controllable image denoising aims to generate clean samples with human perceptual priors and balance sharpness and smoothness.
• Real-time Streaming Video Denoising with Bidirectional Buffers
  14 Jul 2022 1 repository listed Syntology ran 3 of 3 samples · 0 unverified
  Recent multi-output inference works propagate the bidirectional temporal feature with a parallel or recurrent framework, which either suffers from performance drops on the temporal edges of clips or can not achieve…
• Deep Parametric 3D Filters for Joint Video Denoising and Illumination Enhancement in Video Super Resolution
  5 Jul 2022 1 repository listed
  Despite the quality improvement brought by the recent methods, video super-resolution (SR) is still very challenging, especially for videos that are low-light and noisy.
• A Simple Baseline for Video Restoration with Grouped Spatial-temporal Shift
  22 Jun 2022 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this study, we propose a simple yet effective framework for video restoration.
• Unidirectional Video Denoising by Mimicking Backward Recurrent Modules with Look-ahead Forward Ones
  12 Apr 2022 1 repository listed
  However, BiRNN is intrinsically offline because it uses backward recurrent modules to propagate from the last to current frames, which causes high latency and large memory consumption.
• MANet: Improving Video Denoising with a Multi-Alignment Network
  20 Feb 2022 1 repository listed
  In video denoising, the adjacent frames often provide very useful information, but accurate alignment is needed before such information can be harnassed.
• VRT: A Video Restoration Transformer
  28 Jan 2022 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 5 pointer-only (licence)
  Besides, parallel warping is used to further fuse information from neighboring frames by parallel feature warping.
• Patch Craft: Video Denoising by Deep Modeling and Patch Matching
  25 Mar 2021 1 repository listed Syntology ran 4 of 8 samples · 4 unverified · 8 pointer-only (licence)
  Our algorithm augments video sequences with patch-craft frames and feeds them to a CNN.
• Efficient Multi-Stage Video Denoising with Recurrent Spatio-Temporal Fusion
  9 Mar 2021 1 repository listed
  Then, a denoising stage removes the noise in the fused frame.
• Multi-Stage Raw Video Denoising with Adversarial Loss and Gradient Mask
  4 Mar 2021 1 repository listed
  We propose to do this by first explicitly aligning the neighboring frames to the current frame using a convolutional neural network (CNN).

Syntology lines on 13 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.