WindINR achieves continuous high-resolution local wind queries and sparse-observation correction in complex terrain by updating only a compact latent state, delivering 2.6x speedup over full-network fine-tuning in OSSEs over Senja.
Learning continuous image representation with local implicit image function
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TrajGANR learns continuous neural representations of trajectories to enable fine-grained alignment with street-view images and locations in a joint multimodal self-supervised objective, outperforming prior geospatial MSSL methods on urban mobility and road tasks.
Chain-of-Zoom factorizes extreme super-resolution into an autoregressive sequence of intermediate scales using a reused backbone model plus GRPO-tuned multi-scale VLM prompts.
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