arXiv 2610.04781 · cs.CV · 2026-10-03
Super-Resolution in The Right Latent Space: A Frozen Vision-Foundation Substrate
Wanzhou Lei, Cuifeng Shen, Yanjin He, Maohua Li, Hua Yuan, Per-Olof Persson, Tao Lan, Kan Liu 等 9 人
RTP-LLM
在最新榜 #305 本站收录于 2026-10-21
一句话要点
主张在冻结的视觉基础模型特征空间里做超分辨率，比在重建型潜空间或像素空间更合适。
Argues real-world super-resolution works best in a frozen vision-foundation feature space rather than reconstruction latents or pixels.
阅读 arXiv 原文 PDF Hugging Face 讨论
主题与学科
同主题：视觉理解与 3D
- VisionHOPE: Visual Backbones as Self-Modifying Learning Systems ▲296
- EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience ▲170
- Holi-World: Building Holistic World Intelligence from Human-Ego Experience ▲156
- GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed ▲94
- EditHero: A Benchmark for Long-Horizon Part-Level 3D Editing and Vibe Modeling ▲60
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。