Benchmark RadarAI BENCHMARK PROFILE
OmniEdit-Bench
OmniEdit-Bench evaluates instruction-based video editing with dimensions including spatial, temporal, audio, and reference-based editing, and assesses accuracy, preservation, realism, and consistency with an accuracy-aware penalty.
- Released
- 2026-08-05
- Readiness
- Paper only
- Primary field
- General AI
Why it matters
Existing video editing benchmarks have limited task coverage and metrics that fail to measure instruction fidelity. OmniEdit-Bench provides a structured evaluation that prevents incorrect edits from receiving inflated scores.
Motivation
Instruction-based video editing (IVE) is an emerging field with broad applications, yet evaluating editing models remains challenging.
Primary resources
Benchmark Radar records only publicly supported details and links back to primary sources for verification.