Wei Deng

Autonomous code generation combined with rigorous semantic review can drastically enhance scenario mining accuracy in complex driving environments.

By rethinking text-to-3D generation as a planning problem, this approach significantly reduces error propagation and enhances scene realism.

Transforming VLMs into active agents with cognitive maps leads to a staggering 53.2% boost in spatial reasoning accuracy.

A unified benchmark reveals the trade-offs between pixel-wise accuracy and perceptual realism in state-of-the-art image super-resolution techniques.