Author

Rongyuan Wu

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Preprint Oct 2026

HarnessIR: Harnessing Multimodal Foundation Models for Universal Real-World Image Restoration

Real-world low-quality images suffer from complex mixed degradations, including but not limited to noise, blur, atmospheric effects, etc. Recent agentic methods usually model real-world image restoration (Real-IR) as a sequential tool calling problem over task-specific single-degradation restoration models. This paradi...

Xiang-Tao Kong, Shuai Liu, Rong-Yuan Wu et al. · 0 citations

Preprint Oct 2026

Two Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image Generation

Recent diffusion-based image generation backbones have grown substantially in scale, making the network inference cost increase rapidly. While diffusion distillation techniques can reduce the number of inference steps, high-quality image generation within a single full-backbone-forward compute budget remains challengin...

Zhen-Yu Guo, Rong-Yuan Wu, Qiao-Si Yi et al. · 0 citations

Preprint Aug 2026

PixRestore: Unified Image Restoration via Pixel Diffusion Transformer

PixRestore is presented, a VAE-free pixel-space Diffusion Transformer (DiT) for UIR, where the diffusion backbone is trained entirely from scratch, without relying on T2I pretraining.

Ling-Chen Sun, Rong-Yuan Wu, Xiang-Tao Kong et al. · 2 citations