Framer: Interactive Frame Interpolation
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Abstract (arXiv)
We propose Framer for interactive frame interpolation, which targets producing smoothly transitioning frames between two images as per user creativity. Concretely, besides taking the start and end frames as inputs, our approach supports customizing the transition process by tailoring the trajectory of some selected keypoints. Such a design enjoys two clear benefits. First, incorporating human interaction mitigates the issue arising from numerous possibilities of transforming one image to another, and in turn enables finer control of local motions. Second, as the most basic form of interaction, keypoints help establish the correspondence across frames, enhancing the model to handle challenging cases (e.g., objects on the start and end frames are of different shapes and styles). It is noteworthy that our system also offers an "autopilot" mode, where we introduce a module to estimate the keypoints and refine the trajectory automatically, to simplify the usage in practice. Extensive experimental results demonstrate the appealing performance of Framer on various applications, such as image morphing, time-lapse video generation, cartoon interpolation, etc. The code, the model, and the interface will be released to facilitate further research.
Key facts. Cited by 24 papers in the map (data through 14 Oct 2026). Builds on 52 of its 60 references that are in the map. First posted on arXiv 24 Oct 2024.
Builds on
52 of 60 references.
References · 52
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,503
- 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 2,581
- 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 1,476
- 2023T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Modelscited by 1,351
- 2017The 2017 DAVIS Challenge on Video Object Segmentationcited by 957
- 2024WorldSimBench: Towards Video Generation Models as World Simulatorscited by 881
- 2023ModelScope Text-to-Video Technical Reportcited by 658
- 2017Video Enhancement with Task-Oriented Flowcited by 619
- 2023MotionCtrl: A Unified and Flexible Motion Controller for Video Generationcited by 580
- 2024VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Modelscited by 579
- 2023VideoCrafter1: Open Diffusion Models for High-Quality Video Generationcited by 535
- 2023CoTracker: It is Better to Track Togethercited by 522
38 more
- 2023DynamiCrafter: Animating Open-domain Images with Video Diffusion Priorscited by 471
- 2023VideoComposer: Compositional Video Synthesis with Motion Controllabilitycited by 464
- 2024CameraCtrl: Enabling Camera Control for Text-to-Video Generationcited by 460
- 2024OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generationcited by 341
- 2017Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolationcited by 326
- 2023DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editingcited by 294
- 2023Preserve Your Own Correlation: A Noise Prior for Video Diffusion Modelscited by 285
- 2020Softmax Splatting for Video Frame Interpolationcited by 279
- 2023DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectorycited by 264
- 2019Depth-Aware Video Frame Interpolationcited by 234
- 2023Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifoldcited by 219
- 2017Video Frame Interpolation via Adaptive Separable Convolutioncited by 213
- 2023AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolationcited by 180
- 2023SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Modelscited by 175
- 2024DragAnything: Motion Control for Anything using Entity Representationcited by 159
- 2024VD3D: Taming Large Video Diffusion Transformers for 3D Camera Controlcited by 156
- 2018Context-aware Synthesis for Video Frame Interpolationcited by 153
- 2022FILM: Frame Interpolation for Large Motioncited by 153
- 2019Quadratic video interpolationcited by 145
- 2023RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Pathscited by 142
- 2019AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolationcited by 134
- 2021XVFI: eXtreme Video Frame Interpolationcited by 126
- 2021Video Frame Interpolation Transformercited by 123
- 2020BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolationcited by 118
- 2018MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancementcited by 112
- 2022IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolationcited by 109
- 2021Asymmetric Bilateral Motion Estimation for Video Frame Interpolationcited by 101
- 2020FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolationcited by 98
- 2023LDMVFI: Video Frame Interpolation with Latent Diffusion Modelscited by 89
- 2024ReVideo: Remake a Video with Motion and Content Controlcited by 74
- 2024Video Interpolation with Diffusion Modelscited by 68
- 2024ToonCrafter: Generative Cartoon Interpolationcited by 68
- 2020Multiple Video Frame Interpolation via Enhanced Deformable Separable Convolutioncited by 63
- 2021CDFI: Compression-Driven Network Design for Frame Interpolationcited by 56
- 2020Enhanced Quadratic Video Interpolationcited by 48
- 2024Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolationcited by 44
- 2021ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolationcited by 35
- 2024Explorative Inbetweening of Time and Spacecited by 21
50 most cited of 52 All 52 (JSON)
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Citing papers per year: 2024: 2; 2025: 18; 2026: 4.
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- 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Taskscited by 39
- 2024Generative Inbetweening through Frame-wise Conditions-Driven Video Generationcited by 24
- 2025Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interactioncited by 13
- 2025LayerAnimate: Layer-level Control for Animationcited by 12
- 2025AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolationcited by 9
- 2025LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Modelcited by 9
- 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimizationcited by 9
- 2025QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robotscited by 8
- 2025In-2-4D: Inbetweening from Two Single-View Images to 4D Generationcited by 7
- 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweeningcited by 6
- 2025EF-VI: Enhancing End-Frame Injection for Video Inbetweeningcited by 4
- 2025EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolationcited by 3
12 more
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- 2025MultiCOIN: Multi-Modal COntrollable Video INbetweeningcited by 2
- 2026SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughnesscited by 2
- 2024Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolationcited by 1
- 2025Semantic Frame Interpolationcited by 1
- 2025Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Qualitycited by 1
- 2025CineLOG: A Training Free Approach for Cinematic Long Video Generationcited by 1
- 2026Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolationcited by 1
- 2025How Animals Dance (When You're Not Looking)cited by 0
- 2025D3-Predictor: Noise-Free Deterministic Diffusion for Dense Predictioncited by 0
- 2025A Study of the Design Space of Motion and Disocclusion Control in Video Generationcited by 0
- 2026FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generationcited by 0
- 2026SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness3 Jul 2026
- 2026Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation2 Apr 2026
- 2026FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generation5 Mar 2026
- 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening13 Feb 2026
- 2025A Study of the Design Space of Motion and Disocclusion Control in Video Generation15 Dec 2025
- 2025CineLOG: A Training Free Approach for Cinematic Long Video Generation13 Dec 2025
- 2025Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Quality8 Dec 2025
- 2025D3-Predictor: Noise-Free Deterministic Diffusion for Dense Prediction8 Dec 2025
- 2025MultiCOIN: Multi-Modal COntrollable Video INbetweening9 Oct 2025
- 2025FakeParts: a New Family of AI-Generated DeepFakes28 Aug 2025
- 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization20 Aug 2025
- 2025QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robots4 Aug 2025
12 more
- 2025Semantic Frame Interpolation7 Jul 2025
- 2025LongDWM: Cross-Granularity Distillation for Building a Long-Term Driving World Model2 Jun 2025
- 2025AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation1 Jun 2025
- 2025How Animals Dance (When You're Not Looking)29 May 2025
- 2025EF-VI: Enhancing End-Frame Injection for Video Inbetweening27 May 2025
- 2025EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation13 May 2025
- 2025Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction5 May 2025
- 2025In-2-4D: Inbetweening from Two Single-View Images to 4D Generation11 Apr 2025
- 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks24 Feb 2025
- 2025LayerAnimate: Layer-level Control for Animation14 Jan 2025
- 2024Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation22 Dec 2024
- 2024Generative Inbetweening through Frame-wise Conditions-Driven Video Generation16 Dec 2024
- 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Taskscited by 39
- 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimizationcited by 9
- 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweeningcited by 6
- 2025EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolationcited by 3
- 2024Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolationcited by 1
- 2026Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolationcited by 1
- 2025D3-Predictor: Noise-Free Deterministic Diffusion for Dense Predictioncited by 0
- 2026FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generationcited by 0
- 2026Can Video Diffusion Models Predict Past Frames? Bidirectional Cycle Consistency for Reversible Interpolation2 Apr 2026
- 2026FC-VFI: Faithful and Consistent Video Frame Interpolation for High-FPS Slow Motion Video Generation5 Mar 2026
- 2026Motion Prior Distillation in Time Reversal Sampling for Generative Inbetweening13 Feb 2026
- 2025D3-Predictor: Noise-Free Deterministic Diffusion for Dense Prediction8 Dec 2025
- 2025Tinker: Diffusion's Gift to 3D--Multi-View Consistent Editing From Sparse Inputs without Per-Scene Optimization20 Aug 2025
- 2025EventDiff: A Unified and Efficient Diffusion Model Framework for Event-based Video Frame Interpolation13 May 2025
- 2025DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks24 Feb 2025
- 2024Adapting Image-to-Video Diffusion Models for Large-Motion Frame Interpolation22 Dec 2024
- 2024Generative Inbetweening through Frame-wise Conditions-Driven Video Generationcited by 24
- 2025Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interactioncited by 13
- 2025LayerAnimate: Layer-level Control for Animationcited by 12
- 2025AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolationcited by 9
- 2025QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robotscited by 8
- 2025In-2-4D: Inbetweening from Two Single-View Images to 4D Generationcited by 7
- 2025EF-VI: Enhancing End-Frame Injection for Video Inbetweeningcited by 4
- 2025FakeParts: a New Family of AI-Generated DeepFakescited by 3
- 2025MultiCOIN: Multi-Modal COntrollable Video INbetweeningcited by 2
- 2026SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughnesscited by 2
- 2025Semantic Frame Interpolationcited by 1
- 2025Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Qualitycited by 1
12 most cited of 15 All 15 (JSON)
- 2026SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness3 Jul 2026
- 2025A Study of the Design Space of Motion and Disocclusion Control in Video Generation15 Dec 2025
- 2025CineLOG: A Training Free Approach for Cinematic Long Video Generation13 Dec 2025
- 2025Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Quality8 Dec 2025
- 2025MultiCOIN: Multi-Modal COntrollable Video INbetweening9 Oct 2025
- 2025FakeParts: a New Family of AI-Generated DeepFakes28 Aug 2025
- 2025QuaDreamer: Controllable Panoramic Video Generation for Quadruped Robots4 Aug 2025
- 2025Semantic Frame Interpolation7 Jul 2025
- 2025AceVFI: A Comprehensive Survey of Advances in Video Frame Interpolation1 Jun 2025
- 2025How Animals Dance (When You're Not Looking)29 May 2025
- 2025EF-VI: Enhancing End-Frame Injection for Video Inbetweening27 May 2025
- 2025Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction5 May 2025
12 newest of 15 All 15 (JSON)