collaborators

6 papers

cs.CV2026

OmniRSI: Taming Latent Diffusion for Unified Multimodal Remote Sensing Image Generation

Hebaixu Wang, Jing Zhang, Haonan Guo +3

Multimodal remote sensing image generation emerges as a promising paradigm for recovering complete and complementary observations from heterogeneous and partially observed remote s…

cs.CV2026

Any2Any: Unified Arbitrary Modality Translation for Remote Sensing

Haoyang Chen, Jing Zhang, Hebaixu Wang +7

Multi-modal remote sensing imagery provides complementary observations of the same geographic scene, yet such observations are frequently incomplete in practice. Existing cross-mod…

cs.CV2026

Universal Pansharpening Model

Hebaixu Wang, Jing Zhang, Haonan Guo +4

Pansharpening generates the high-resolution multi-spectral (MS) image by integrating spatial details from a texture-rich panchromatic (PAN) image and spectral attributes from a low…

cs.CV2025

SARMAE: Masked Autoencoder for SAR Representation Learning

Danxu Liu, Di Wang, Hebaixu Wang +6

Synthetic Aperture Radar (SAR) imagery plays a critical role in all-weather, day-and-night remote sensing applications. However, existing SAR-oriented deep learning is constrained…

cs.CV2025

Residual Diffusion Bridge Model for Image Restoration

Hebaixu Wang, Jing Zhang, Haoyang Chen +4

Diffusion bridge models establish probabilistic paths between arbitrary paired distributions and exhibit great potential for universal image restoration. Most existing methods mere…

cs.CV2025

DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration

Hebaixu Wang, Jing Zhang, Haonan Guo +3

Diffusion models have achieved remarkable progress in universal image restoration. While existing methods speed up inference by reducing sampling steps, substantial step intervals…