Abstract: Urban traffic flow generation is a critical component of urban planning and management. However, existing models are often insufficient in capturing complex spat-temporal and semantic ...
The Schrödinger Dream is a high-precision computational framework designed for solving the Time-Independent Schrödinger Equation (TISE) using a novel hybrid of Geometric Deep Learning and Generative ...
To create coherent images or videos, generative AI diffusion models like Stable Diffusion or FLUX have typically relied on external "teachers"—frozen encoders like CLIP or DINOv2—to provide the ...
Flow is a state of optimal experience characterized by deep concentration, immersion, and intrinsic enjoyment, and it is widely regarded as a key psychological mechanism that promotes learning ...
Abstract: In recent years, generative models have become a cornerstone of machine learning, with applications spanning from image synthesis to scientific simulation. Despite their rapid progress, the ...
Radar-based precipitation nowcasting, the forecasting of short-term precipitation fields from radar imagery, is a critical challenge for flood risk management. While diffusion models have recently ...
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