AINewsnow

Seeing Through the Glare: A Multi-Source Benchmark and Ocular-Adaptive Pixel MeanFlow for Eyeglass Reflection Removal

arXiv:2610.10703v1 Announce Type: new Abstract: Eyeglass reflection removal is important across smartphone imaging, video conferencing, and other face-centric visual applications. The task is challenging because reflections range from mild photometric contamination to severe ocular occlusion, requi…

Read the full story at arXiv cs.CV ↗

Timeline · 1 report

  1. 2026-10-09 04:00 · arXiv cs.CV
    Seeing Through the Glare: A Multi-Source Benchmark and Ocular-Adaptive Pixel MeanFlow for Eyeglass Reflection Removal

More stories

  1. GPT-6 and Intelligent UI for everyone — OpenAI News
  2. Introducing Mistral Large 4 — Mistral AI News
  3. Introducing Claude Haiku 5.5 on AWS — AWS Machine Learning Blog
  4. Sharing AI progress in mathematics — OpenAI News
  5. OpenAI Decisions API now available on AI Gateway — Vercel Blog
  6. Anthropic bans ‘abusive or cruel behavior’ toward Claude — The Verge AI
  7. Introducing Playground: Create and play custom games — Google AI Blog
  8. Anthropic launches OSS Scanner, which provides free, opt-in security audits for open-source projects by sending AI-generated reports without human review (Anthropic) — Techmeme

Get the daily brief of stories like this at 6:30 every morning →