Research Paper#Video Editing, Autonomous Driving, Diffusion Models🔬 ResearchAnalyzed: Jan 3, 2026 15:45
Mirage: One-Step Video Diffusion for Driving Scene Editing
Published:Dec 30, 2025 13:40
•1 min read
•ArXiv
Analysis
This paper introduces Mirage, a novel one-step video diffusion model designed for photorealistic and temporally coherent asset editing in driving scenes. The key contribution lies in addressing the challenges of maintaining both high visual fidelity and temporal consistency, which are common issues in video editing. The proposed method leverages a text-to-video diffusion prior and incorporates techniques to improve spatial fidelity and object alignment. The work is significant because it provides a new approach to data augmentation for autonomous driving systems, potentially leading to more robust and reliable models. The availability of the code is also a positive aspect, facilitating reproducibility and further research.
Key Takeaways
- •Proposes Mirage, a one-step video diffusion model for asset editing in driving scenes.
- •Addresses issues of spatial fidelity and temporal coherence in video editing.
- •Employs a two-stage data alignment strategy for improved object alignment.
- •Demonstrates high realism and temporal consistency in experiments.
- •Offers a reliable baseline for future video-to-video translation research.
Reference
“Mirage achieves high realism and temporal consistency across diverse editing scenarios.”