Haohui Zhu

UFO: Unifying Feed-Forward and Optimization-based Methods for Large Driving Scene Modeling

Dynamic driving scene modeling is critical for autonomous driving simulation and closed-loop learning. While recent feed-forward methods offer fast inference through data-driven priors, they struggle with long-range driving sequences due to quadratic complexity in sequence length and restrictive ass