Closed-loop evaluation of autonomous-driving policies requires interactive simulation beyond log replay. However, existing generative world models often degrade in closed loop due to (i) history-free initialization that mismatches policy inputs, (ii) multi-step sampling latency that violates real-time budgets, and (iii) compounding kinematic infeasibility over long horizons. We propose VectorWorld, a streaming world model that incrementally generates ego-centric $64 \mathrm{m}\times 64\mathrm{m}$ lane--agent vector-graph tiles during rollout. VectorWorld aligns initialization with history-conditioned policies by producing a policy-compatible interaction state via a motion-aware gated VAE. It enables real-time outpainting via solver-free one-step masked completion with an edge-gated relational DiT trained with interval-conditioned MeanFlow and JVP-based large-step supervision. To stabilize long-horizon rollouts, we introduce $Δ$Sim, a physics-aligned non-ego (NPC) policy with hybrid discrete--continuous actions and differentiable kinematic logit shaping. On Waymo open motion and nuPlan, VectorWorld improves map-structure fidelity and initialization validity, and supports stable, real-time $1\mathrm{km}+$ closed-loop rollouts (\href{https://github.com/jiangchaokang/VectorWorld}{code}).
StreamingTalker: Audio-driven 3D Facial Animation with Autoregressive Diffusion Model
State Key Laboratory of CAD&CG, Zhejiang University（浙江大学计算机辅助设计与图形学国家重点实验室）；Ant Group（蚂蚁集团）；College of Computer Science, Zhejiang University（浙江大学计算机学院）
MotionStreamer: Streaming Motion Generation via Diffusion-based Autoregressive Model in Causal Latent Space
Zhejiang University（浙江大学）；The Chinese University of Hong Kong (Shenzhen)（香港中文大学（深圳））；The University of Hong Kong（香港大学）；Shanghai Jiao Tong University（上海交通大学）；DeepGlint；Shanghai AI Laboratory（上海人工智能实验室）
Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length
University of Science and Technology of China（中国科学技术大学）；Alibaba Group（阿里巴巴集团）；Beijing University of Posts and Telecommunications（北京邮电大学）；Zhejiang University（浙江大学）；Monash University（墨尔本大学）
Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models
DiT as Real-Time Rerenderer: Streaming Video Stylization with Autoregressive Diffusion Transformer
The Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州））；The Hong Kong University of Science and Technology（香港科技大学）；XMax.AI Ltd.（XMax人工智能有限公司）；Nanyang Technological University（南洋理工大学）
Hierarchical Denoising For Multi-Step Visual Reasoning
State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（北京大学计算机科学学院多媒体信息处理技术国家重点实验室）；The Hong Kong University of Science and Technology（香港科技大学）；Beihang University（北京航空航天大学）；Fuzhou University（福州大学）；Muka Robotics（木卡机器人）
Hallo-Live: Real-Time Streaming Joint Audio-Video Avatar Generation with Asynchronous Dual-Stream and Human-Centric Preference Distillation
Shanghai Innovation Institute（上海创新研究院）；Fudan University（复旦大学）；University of Science and Technology of China（中国科学技术大学）；Nanjing University（南京大学）；Baidu（百度）
InteractiveAvatar: Real-Time Streaming Video Generation for Consistent and Intent-Aware Avatars
State Key Laboratory of Human-Machine Hybrid Augmented Intelligence, Institute of Artificial Intelligence and Robotics, Xi'an Jiaotong University（西安交通大学人工智能与机器人研究所人机混合增强智能国家重点实验室）；China Telecom Artificial Intelligence Technology (Beijing) Co., Ltd.（中国电信人工智能科技（北京）有限公司）；Wuhan University（武汉大学）；Institute of Artificial Intelligence (TeleAI), China Telecom（中国电信人工智能研究院（TeleAI））
Streaming Autoregressive Video Generation via Diagonal Distillation
South China University of Technology（南方科技大学）；Westlake University（西湖大学）；Johns Hopkins University（约翰霍普金斯大学）；University of California, Merced（加州大学默塞德分校）；The Chinese University of Hong Kong（香港中文大学）
