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PPR-1503.03585 Deep Unsupervised Learning using Nonequilibrium Thermodynamics以非平衡热力学解释深度无监督学习（Sohl-Dickstein et al., ICML 2015）；扩散的概率奠基。 Paper extracted n/a
PPR-1709.07871 FiLM: Visual Reasoning with a General Conditioning LayerFiLM 原始论文（Perez et al., AAAI 2018）：提出 feature-wise affine 调制（γ/β 由条件回归、逐特征仿射）——DiT adaLN（CPT-007）回归 γ/β 思想的直接来源。 Paper extracted n/a
PPR-1807.00412 Learning to Drive in a Day一天内学会驾驶的端到端学习（Kendall et al., ICRA 2019）；真实城市道路少样本驾驶策略。 Paper extracted n/a
PPR-1807.08048 Baidu Apollo EM Motion Planner百度 Apollo EM Motion Planner（工业量产运动规划模块）；G2DP 的工业规划参照。 Paper extracted n/a
PPR-1812.03079 ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst以模仿学习训练驾驶策略（Bansal et al., RSS 2019）：学最佳示范、合成最坏失败。 Paper extracted n/a
PPR-2006.11239 Denoising Diffusion Probabilistic Models去噪扩散概率模型（DDPM）奠基作（Ho et al., NeurIPS 2020）；扩散生成的马尔可夫链框架。 Paper extracted n/a
PPR-2106.11810 nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles自动驾驶闭环机器学习规划基准 nuPlan（Caesar et al.）；G2DP 的主评测基准。 Paper extracted n/a
PPR-2112.10752 High-Resolution Image Synthesis with Latent Diffusion ModelsLatent Diffusion Model 原始论文（Rombach et al.）；Stable Diffusion 学术源头，DiT 所引『latent diffusion』。 Paper formalized n/a
PPR-2207.12598 Classifier-Free Diffusion GuidanceClassifier-Free Guidance 提出作（Ho, arXiv 2022）；条件扩散的标准引导做法。 Paper extracted n/a
PPR-2212.09748 Scalable Diffusion Models with TransformersDiT 原始论文（Peebles & Xie, ICCV 2023）：ViT 替换 LDM U-Net backbone，Gflops 视角的 scaling 研究。 Paper formalized n/a