PickMoment: Continuous-Time Single-Image-to-Video via Learning Deblurring and Blur-to-Video

arXiv:2610.01279 · cs.CV, cs.AI · Submitted 2026-10-01 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-10-01

Updated: 2026-10-01

Code: https://github.com/black-forest-labs/flux2

Terminology

• Additivity — 23× in this paper · explained in 1 episode
• Ablation — 16× in this paper · explained in 1 episode
• Transformer — 15× in this paper · explained in 2 episodes
• Consistency — 13× in this paper · explained in 3 episodes
• Fidelity — 7× in this paper · explained in 2 episodes
• Self-consistency — 7× in this paper · explained in 2 episodes
• Generative Modeling — 6× in this paper · explained in 3 episodes
• Latent Space — 6× in this paper · explained in 7 episodes
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Generalization — 5× in this paper · explained in 13 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Flow Matching — 4× in this paper · explained in 8 episodes
• Regularization — 3× in this paper · explained in 3 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Decode — 2× in this paper · explained in 2 episodes
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Optical Flow — 2× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Exponential Moving Average — 1× in this paper
• Exponential Moving Average (EMA) — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Variational Bayes — 1× in this paper · explained in 2 episodes

Sources

• Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
• Unpaired Deblurring via Decoupled Diffusion Model
• Mean Flows for One-step Generative Modeling
• SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling

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