Project Page

Noise Manipulation for Video Generation

This is a project trying to utilize noise space manipulation to generate coherent videos.

Abstract

We explore noise-space manipulation in generative modelling, venturing into multiple use cases - compositional generation, accelerated sampling, and noise guidance. We then use it as a light weight alternative for video diffusion, enabling temporally coherent generation via frozen image models.

Method Overview

  1. Observing the noise space of a frozen image model, frames from a video lie close to each other, hinting at some form of manifold.
  2. We want to add noise to a single sample, such that the corrupted sample is temporally correlated to the initial sample at an attempt to learn this manifold.
Training Method diagram
Inference Method diagram
Preserve your own correlation Method diagram

Results

BibTeX

@misc{guptaNoiseVideoGen,
  title={Noise Manipulation for Video Generation},
  author={Vishesh Gupta, Jente Vandersanden, Gurprit Singh, Hans-Peter Seidel},
  year={2025},
  url={https://shiroyasha263.github.io/VideoGen/VideoGen.html}
}