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Tingyu Yang

2 accepted papers

2026

SODiff:Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal

AAAI 2026technical

JPEG, as a widely used image compression standard, often introduces severe visual artifacts when achieving high compression ratios. Although existing deep learning-based restoration methods have made considerable progress, they often struggle to recover complex texture details, resulting in over-smo

Cited by 0SourcePDFScholar
2025

HAODiff: Human-Aware One-Step Diffusion via Dual-Prompt Guidance

NeurIPS 2025poster

Human-centered images often suffer from severe generic degradation during transmission and are prone to human motion blur (HMB), making restoration challenging. Existing research lacks sufficient focus on these issues, as both problems often coexist in practice. To address this, we design a degradat…

Cited by 0SourcecodeScholar