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20172023
most citedPhenaki: Variable Length Video Generation From Open Domain Textual Description

80 citations · 121 across the 6 of their papers we have counts for

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cs.CV20231 cited

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization

Emanuele Bugliarello, Hernan Moraldo, Ruben Villegas +7

Generating video stories from text prompts is a complex task. In addition to having high visual quality, videos need to realistically adhere to a sequence of text prompts whilst be…

cs.CV202280 cited

Phenaki: Variable Length Video Generation From Open Domain Textual Description

Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans +6

We present Phenaki, a model capable of realistic video synthesis, given a sequence of textual prompts. Generating videos from text is particularly challenging due to the computatio…

cs.CV202129 cited

FitVid: Overfitting in Pixel-Level Video Prediction

Mohammad Babaeizadeh, Mohammad Taghi Saffar, Suraj Nair +3

An agent that is capable of predicting what happens next can perform a variety of tasks through planning with no additional training. Furthermore, such an agent can internally repr…

cs.CV2019

VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation

Manoj Kumar, Mohammad Babaeizadeh, Dumitru Erhan +4

Generative models that can model and predict sequences of future events can, in principle, learn to capture complex real-world phenomena, such as physical interactions. However, a…

cs.CV2018

Adjustable Real-time Style Transfer

Mohammad Babaeizadeh, Golnaz Ghiasi

Artistic style transfer is the problem of synthesizing an image with content similar to a given image and style similar to another. Although recent feed-forward neural networks can…