https://xuquant.com/en/tags/diffusion/Recent content in Diffusion on Xu'Bloghttps://xuquant.com/og-default.pnghttps://xuquant.com/og-default.pngHugo -- 0.152.2enSat, 19 Jul 2025 10:00:00 +0800https://xuquant.com/en/posts/autonomous-driving/e2e-autonomous-driving-evolution/Sat, 19 Jul 2025 10:00:00 +0800https://xuquant.com/en/posts/autonomous-driving/e2e-autonomous-driving-evolution/A technical survey on the architectural evolution of end-to-end autonomous driving, covering planner decoder selection (AR vs Diffusion vs Flow Matching), VLA integration strategies, and engineering best practices for data infrastructure, training optimization, and evaluation systems.https://xuquant.com/en/posts/autonomous-driving/ar-trajectory-tokenization/Sat, 28 Jun 2025 10:00:00 +0800https://xuquant.com/en/posts/autonomous-driving/ar-trajectory-tokenization/A deep dive into trajectory tokenization for autoregressive driving planners: from state-based discretization via k-means clustering, through token matching and reconstruction, to the AR+Diffusion paradigm and GRPO-based reinforcement learning post-training.https://xuquant.com/en/posts/autonomous-driving/generative-planning-nonconvex/Sat, 07 Jun 2025 10:00:00 +0800https://xuquant.com/en/posts/autonomous-driving/generative-planning-nonconvex/A first-principles analysis of why regression-based planners fail in autonomous driving: the feasible set is non-convex, MSE averages into obstacles, GMM is a patch not a solution, and generative approaches are necessary.