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cs.CV2026
Omni-RS: Unifying Multi-Task Understanding and Generation in Remote Sensing
Pan Yin. Shuai Yang, Pan Yin, Yuanhao Liu +8
Practical remote sensing applications often require both understanding and generation capabilities for the same geographic scene. However, most existing methods address either unde…
cs.SD2026
PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation
Lingfeng Yao, Chenpei Huang, Xingke Yang +5
Text-to-spatial audio generation, such as text-to-First-Order Ambisonics (FOA), provides a convenient way to create spatial audio for billion-dollar gaming and film industries. How…
cs.CV2026
VLM-Guided Group Preference Alignment for Diffusion-based Human Mesh Recovery
Wenhao Shen, Hao Wang, Wanqi Yin +5
Human mesh recovery (HMR) from a single RGB image is inherently ambiguous, as multiple 3D poses can correspond to the same 2D observation. Recent diffusion-based methods tackle thi…