The SAFE challenge shows measurable progress in detecting synthetic videos across different generators but persistent weaknesses against post-processing operations.
Corvi, et al., Seeing what matters: Generalizable ai-generated video detection with forensic-oriented augmentation, in: NeurIPS
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Advancing Reliable Synthetic Video Detection: Insights from the SAFE Challenge
The SAFE challenge shows measurable progress in detecting synthetic videos across different generators but persistent weaknesses against post-processing operations.