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Neural Gaffer: Relighting Any Object via Diffusion
What this score means
Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Neural Gaffer: Relighting Any Object via Diffusion just got measured.
3/10 means Neural Gaffer: Relighting Any Object via Diffusion is currently invisible to AI search. Most AI assistants will not cite your brand when asked about your category. Claiming and applying the fixes below is the fastest way to change that.
About Neural Gaffer: Relighting Any Object via Diffusion
Gaffer: Relighting Any Object via Diffusion NeurIPS 2024 Haian Jin1 Yuan Li2 Fujun Luan3 Yuanbo Xiangli1 Sai Bi3 Kai Zhang3 Zexiang Xu3 Jin Sun4 Noah Snavely1 1Cornell University 2Zhejiang University 3Adobe Research 4University of Georgia Paper Code Neural Gaffer is an end-to-end 2D relighting diffusion model that accurately relights any object in a single image under various lighting conditions.
Key Topics
Details
Category: Technology
neural-gaffer.github.ioAI Visibility Breakdown
1
Structured Data
3
Content Structure
4
Entity Clarity
2
E-E-A-T Signals
5
Technical AEO
2
AI Discoverability
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Source & Attribution
Scored by Engagemii on May 22, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/neural-gaffer-github-io
Cite this score: Engagemii (2026). "AEO Score for Neural Gaffer: Relighting Any Object via Diffusion." Retrieved from https://engagemii.com/aeo/brands/neural-gaffer-github-io
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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