Beihang's UniH3 Unifies Hierarchical Homogeneity and Heterogeneity for Medical Image Restoration
Beihang · hf · 2026-09-11
UniH3 提出统一的医疗图像修复框架,通过基于记忆的同质性先验与异质性平衡器,将分层同质性与异质性统一起来,实现一体化通用医疗图像修复。
More from Research
- Fruit flies trained to write: neural signals turn insect legs into a font generator — dejavucoder · 2026-09-11
- Stokes' theorem formalized in Lean 4 with true pullbacks and d²=0 proof — basedjensen · 2026-09-11
- Missing Benchmark for Agent Runtimes, Not Just Models, Reddit Thread Argues — Balance- · 2026-09-11
- PISA data preprocessed for AI agents: open dataset with AGENTS.md for instant analysis — pelayoarbues · 2026-09-11
- X-AuT: Progressive Audio-Encoder Compression for Speech LLMs via Cross-Scale Distillation — XPENG-AI · 2026-09-11
- TempCloze Benchmark Tests Whether Video-LLMs Can Identify Missing Middle Video Segments — hkuhk · 2026-09-11