GraphVid: Interactive Graph-Controllable Video Generation
Controllable video generation remains challenging due to the difficulty of specifying precise multi-object interactions using text prompts or motion-control inputs that primarily constrain pixel movement. In practice, trajectory-based control often requires users to draw accurate tracks for multiple objects, which scales poorly with scene complexity and becomes ambiguous under occlusion or overlap. To enable flexible yet precise multi-subject control, we introduce $\textbf{GraphVid}$, a graph-conditioned image-to-video generation model that enables interactive control through structured intera
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- FuzzyOverlapping authors or contributors · 62%open-webui/open-webui →
“Shared author/contributor keys: nguyen”
- FuzzySimilar title/name (fuzzy) · 59%Developer-Y/cs-video-courses →
“Fuzzy title match (0.73): “GraphVid: Interactive Graph-Controllable Video Generation” ≈ “Developer-Y/cs-video-courses””
- FuzzySimilar title/name (fuzzy) · 59%tirth8205/code-review-graph →
“Fuzzy title match (0.73): “GraphVid: Interactive Graph-Controllable Video Generation” ≈ “tirth8205/code-review-graph””
- LinkedLinked via arxiv author · 85%Vedant Shah →
“GraphVid: Interactive Graph-Controllable Video Generation”
- LinkedLinked via arxiv author · 85%Onkar Susladkar →
“GraphVid: Interactive Graph-Controllable Video Generation”
- LinkedLinked via arxiv author · 85%Tushar Prakash →
“GraphVid: Interactive Graph-Controllable Video Generation”
- LinkedLinked via arxiv author · 85%Kiet Nguyen →
“GraphVid: Interactive Graph-Controllable Video Generation”
- LinkedLinked via arxiv author · 85%Tianjio Yu →
“GraphVid: Interactive Graph-Controllable Video Generation”