SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation
We propose Symmetric Nonlinear Motion-guided Generative Video Frame Interpolation (SNM-VFI), a training-free framework for motion-controllable generative video frame interpolation with pre-trained optical flow and video diffusion models. Unlike conventional diffusion-based VFI methods that synthesize intermediate frames from random noise, SNM-VFI guides the generative process with correspondence-aware frames produced by a symmetric nonlinear motion model. Specifically, we first utilize a pre-trained optical flow model to construct multi-frame nonlinear flow-based intermediate frames and confid
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- FuzzySimilar title/name (fuzzy) · 84%GoogleCloudPlatform/generative-ai →
“Fuzzy title match (0.92): “SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video ” ≈ “GoogleCloudPlatform/generative-ai””
- FuzzyOverlapping authors or contributors · 62%Zeyi-Lin/HivisionIDPhotos →
“Shared author/contributor keys: lin”
- FuzzyOverlapping authors or contributors · 62%hiyouga/LlamaFactory →
“Shared author/contributor keys: lin”
- FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses →
“Fuzzy title match (0.73): “SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video ” ≈ “Developer-Y/cs-video-courses””
- FuzzySimilar title/name (fuzzy) · 59%steven2358/awesome-generative-ai →
“Fuzzy title match (0.73): “SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video ” ≈ “steven2358/awesome-generative-ai””
- LinkedLinked via arxiv author · 85%Jisoo Jeong →
“SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation”
- LinkedLinked via arxiv author · 85%Minghong Cai →
“SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation”
- LinkedLinked via arxiv author · 85%Jamie Menjay Lin →
“SNM-VFI: Symmetric Nonlinear Motion-Guided Generative Video Frame Interpolation”
