3 papers
eess.IV2026
Learning to Refine: Spectral-Decoupled Iterative Refinement Framework for Precipitation Nowcasting
Yunlong Zhou, Chen Zhao, Danyang Peng +2
Accurate precipitation nowcasting is vital for disaster mitigation, but deep learning methods face a key trade-off: regression models produce over-smoothed, spectrally decaying pre…
cs.CV2026
PhysGen: Physically Grounded 3D Shape Generation for Industrial Design
Yingxuan You, Chen Zhao, Hantao Zhang +2
Existing generative models for 3D shapes can synthesize high-fidelity and visually plausible shapes. For certain classes of shapes that have undergone an engineering design process…
cs.CV2025
Prompt-Guided Dual Latent Steering for Inversion Problems
Yichen Wu, Xu Liu, Chenxuan Zhao +1
Inverting corrupted images into the latent space of diffusion models is challenging. Current methods, which encode an image into a single latent vector, struggle to balance structu…