FlowWM stochastic world modeling via flow matching in DINOv3 feature space, with the FuturePerception (Waymo) benchmark. - ...
2025-04-17: Released pretrained weights for M2D-T available here. State-Space Models (SSMs) have emerged as an efficient alternative to transformers, yet existing visual SSMs retain deeply ingrained ...
A Long March 2D carrier rocket carrying a space computing satellite constellation blasts off from the Jiuquan Satellite Launch Center in Northwest China on May 14, 2025. [Photo/Xinhua] GUANGZHOU -- A ...
Explore the beauty of space through a hyper realistic drawing tutorial featuring Earth surrounded by stars and cosmic depth. This step-by-step guide focuses on planetary texture, lighting, and shadow ...
Abstract: State-space models (SSMs) are a powerful statistical tool for modelling time-varying systems via a latent state. In these models, the latent state is never directly observed. Instead, a ...
Recently, foundation models have become central to the field of artificial intelligence. These large-scale models are initially pretrained on extensive datasets, and subsequently fine-tuned for ...
Deep space exploration, as a critical means for humanity to understand and investigate the evolutionary history of the universe, has entered a phase of rapid development. A single deep space ...
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