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Data Party THU
Data Party THU
Dec 18, 2025 · Artificial Intelligence

How Diffusion Models and Transformers Power the Next Generation of AI Video Generation

AI video generation now turns textual prompts into high‑quality clips using diffusion models and transformer‑based architectures; this article explains the underlying mathematics, training objectives, spatio‑temporal encoding, breakthroughs like consistent motion and physical realism, and discusses the technology’s opportunities and inherent risks.

AI video generationSpatio-temporal modelingTransformers
0 likes · 11 min read
How Diffusion Models and Transformers Power the Next Generation of AI Video Generation
Amap Tech
Amap Tech
Sep 24, 2020 · Artificial Intelligence

Hybrid Spatio‑Temporal Graph Convolutional Network for Precise Traffic Prediction

At the 2020 Yunqi Conference, Amap’s senior algorithm expert presented the Hybrid Spatio‑Temporal Graph Convolutional Network, which leverages massive real‑time navigation data to estimate future traffic flow, transform it into travel‑time features, and outperform prior models, enabling proactive congestion avoidance and dynamic traffic‑scheduling for millions of users.

AIHSTGCNSmart Mobility
0 likes · 11 min read
Hybrid Spatio‑Temporal Graph Convolutional Network for Precise Traffic Prediction
Amap Tech
Amap Tech
Jun 24, 2020 · Artificial Intelligence

Hybrid Spatio-Temporal Graph Convolutional Network (H‑STGCN) for Traffic Forecasting

The Hybrid Spatio‑Temporal Graph Convolutional Network (H‑STGCN) integrates planned traffic flow from navigation data via a domain transformer and a compound adjacency matrix, enabling graph‑based spatio‑temporal modeling that consistently outperforms baselines in real‑world traffic forecasting and reduces severe ETA errors.

H‑STGCNSpatio-temporal modelingdeep learning
0 likes · 17 min read
Hybrid Spatio-Temporal Graph Convolutional Network (H‑STGCN) for Traffic Forecasting