Unifying Video Tasks via Spatiotemporal Analogy

arXiv:2609.33935 · cs.CV, cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-09-27

Updated: 2026-09-30

Project page: https://iandrover.github.io/video_analogy

Terminology

Optical Flow — 21× in this paper · explained in 2 episodes
In-Context Learning — 12× in this paper · explained in 4 episodes
Generalization — 9× in this paper · explained in 13 episodes
Accuracy — 5× in this paper · explained in 1 episode
Diffusion Model — 5× in this paper · explained in 8 episodes
Generative Model — 5× in this paper · explained in 2 episodes
Consistency — 4× in this paper · explained in 3 episodes
Adam — 3× in this paper · explained in 2 episodes
Benchmark — 3× in this paper · explained in 2 episodes
Transformer — 3× in this paper · explained in 2 episodes
Diffusion Models — 2× in this paper · explained in 6 episodes
Fidelity — 2× in this paper · explained in 2 episodes
Fine-Tuning — 2× in this paper · explained in 5 episodes
Generative Models — 2× in this paper · explained in 2 episodes
Rectified Flow — 2× in this paper · explained in 3 episodes
Robustness — 2× in this paper · explained in 5 episodes
Trace — 2× in this paper · explained in 2 episodes
Domain Shift — 1× in this paper · explained in 4 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Loss Function — 1× in this paper · explained in 2 episodes
Objective Function — 1× in this paper · explained in 2 episodes
Point Clouds — 1× in this paper · explained in 2 episodes
Self-Supervised Learning — 1× in this paper · explained in 7 episodes
Unified Framework — 1× in this paper · explained in 5 episodes

Sources

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