Browse State-of-the-Art › Video Frame Interpolation
Video Frame Interpolation
114 papers with code · 21 benchmarks · 15 datasets archive 2025-07-28
The goal of Video Frame Interpolation is to synthesize several frames in the middle of two adjacent frames of the original video. Video Frame Interpolation can be applied to generate slow motion video, increase video frame rate, and frame recovery in video streaming.
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
21 leaderboard tables shown for this task, 21 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 21 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
15 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
3 subtasks in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 114 papers with code (204 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.
-
12 Nov 2020 13 repositories listed Syntology ran 19 of 26 samples · 7 unverified · 16 pointer-only (licence)We propose RIFE, a Real-time Intermediate Flow Estimation algorithm for Video Frame Interpolation (VFI).
-
5 Aug 2017 6 repositories listedOur method develops a deep fully convolutional neural network that takes two input frames and estimates pairs of 1D kernels for all pixels simultaneously.
-
1 Apr 2019 5 repositories listed Syntology ran 3 of 15 samples · 12 unverifiedThe proposed model then warps the input frames, depth maps, and contextual features based on the optical flow and local interpolation kernels for synthesizing the output frame.
-
30 Nov 2017 5 repositories listed Syntology ran 1 of 2 samples · 1 unverifiedFinally, the two input images are warped and linearly fused to form each intermediate frame.
-
24 Nov 2017 4 repositories listedMany video enhancement algorithms rely on optical flow to register frames in a video sequence.
-
19 Apr 2023 3 repositories listed Syntology ran 8 of 12 samples · 4 unverified · 12 pointer-only (licence)It is based on two essential designs.
-
30 Nov 2021 3 repositories listedVideo frame interpolation (VFI) is currently a very active research topic, with applications spanning computer vision, post production and video encoding.
-
26 Feb 2020 3 repositories listed Syntology ran 2 of 8 samples · 6 unverifiedRather than synthesizing missing LR video frames as VFI networks do, we firstly temporally interpolate LR frame features in missing LR video frames capturing local temporal contexts by the proposed feature temporal…
-
20 Sep 2018 3 repositories listedAs Deep Neural Networks are becoming more popular, much of the attention is being devoted to Computer Vision problems that used to be solved with more traditional approaches.
-
1 Jun 2025 2 repositories listedVideo Frame Interpolation (VFI) is a fundamental Low-Level Vision (LLV) task that synthesizes intermediate frames between existing ones while maintaining spatial and temporal coherence.
-
27 Mar 2023 2 repositories listed Syntology ran 0 of 2 samples · 2 unverifiedMoreover, on the seemingly implausible x16 interpolation task, our method outperforms existing methods by more than 1.
-
16 Mar 2023 2 repositories listed Syntology ran 7 of 11 samples · 4 unverifiedExisting works on video frame interpolation (VFI) mostly employ deep neural networks that are trained by minimizing the L1, L2, or deep feature space distance (e.
-
7 Mar 2023 2 repositories listedExperimental results demonstrate that our method achieves new state-of-the-art performance on five challenging benchmarks for video prediction and unconditional video generation: BAIR, RoboNet, KTH, KITTI and UCF101.
-
3 Oct 2022 2 repositories listedIn order to narrow this research gap, we have developed a new video quality database named BVI-VFI, which contains 540 distorted sequences generated by applying five commonly used VFI algorithms to 36 diverse source…
-
29 May 2022 2 repositories listed Syntology ran 10 of 20 samples · 10 unverifiedPrevailing video frame interpolation algorithms, that generate the intermediate frames from consecutive inputs, typically rely on complex model architectures with heavy parameters or large delay, hindering them from…
-
10 Feb 2022 2 repositories listed Syntology ran 10 of 20 samples · 10 unverifiedRecent methods use multiple networks to estimate optical flow or depth and a separate network dedicated to frame synthesis.
-
10 Sep 2020 2 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)In this work, we further improve the performance of QVI from three facets and propose an enhanced quadratic video interpolation (EQVI) model.
-
4 May 2020 2 repositories listedVideo frame interpolation achieves temporal super-resolution by generating smooth transitions between frames.
-
11 Mar 2020 2 repositories listed Syntology ran 0 of 1 samples · 1 unverifiedIn contrast, how to perform forward warping has seen less attention, partly due to additional challenges such as resolving the conflict of mapping multiple pixels to the same target location in a differentiable way.
-
7 Apr 2025 1 repository listedIn this work, we propose a new diffusion-based method for video frame interpolation (VFI), in the context of traditional hand-made animation.
-
26 Mar 2025 1 repository listedVideo frame interpolation (VFI) in scenarios with large motion remains challenging due to motion ambiguity between frames.
-
20 Mar 2025 1 repository listedHandling complex or nonlinear motion patterns has long posed challenges for video frame interpolation.
-
19 Feb 2025 1 repository listedHowever, existing methods estimate bidirectional inter-frame motion fields with only events or approximations, which can not consider the complex motion in real-world scenarios.
-
18 Dec 2024 1 repository listedExtensive experiments demonstrate that GaraMoSt achieves the SOTA performance in accuracy, robustness, visual effects, and noise suppression, comprehensively surpassing MoSt-DSA and other natural scene VFI methods.
-
16 Dec 2024 1 repository listedExisting Video Frame interpolation (VFI) models tend to suffer from time-to-location ambiguity when trained with video of non-uniform motions, such as accelerating, decelerating, and changing directions, which often…
-
2 Dec 2024 1 repository listedWe propose a novel SfM-Free 3DGS (SFGS) method for video input, eliminating the need for known camera poses and SfM preprocessing.
-
9 Oct 2024 1 repository listedWe propose a novel optical flow based approach to enhance the axial resolution of anisotropic 3D EM volumes to achieve isotropic 3D reconstruction.
-
21 Aug 2024 1 repository listedSubsequently, 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.
-
19 Jul 2024 1 repository listed Syntology ran 13 of 16 samples · 3 unverifiedThe single- and multi-frame models can share weights, making our framework compact and memory-efficient.
-
9 Jul 2024 1 repository listedArtificial intelligence has become a crucial tool for medical image analysis.
Syntology lines on 12 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections