REPOGEO REPORT · LITE
caiyuanhao1998/MST-plus-plus
Default branch master · commit dabb1a1e · scanned 6/3/2026, 2:57:47 AM
GitHub: 554 stars · 79 forks
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface caiyuanhao1998/MST-plus-plus, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Add a concise introductory sentence to the README
Why:
COPY-PASTE FIXThis repository presents MST++, a Multi-stage Spectral-wise Transformer, which achieved state-of-the-art results in efficient spectral reconstruction and won the NTIRE 2022 Spectral Recovery Challenge. (Insert this sentence after the H1 and any badges/links, before the author list or news section.)
- mediumabout#2Refine the repository description for stronger keyword alignment
Why:
CURRENTMST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Spectral Recovery Challenge) and a toolbox for spectral reconstruction
COPY-PASTE FIXMST++ (Multi-stage Spectral-wise Transformer) is a state-of-the-art deep learning model for efficient spectral reconstruction, recognized at CVPRW 2022 and as the Winner of NTIRE 2022 Spectral Recovery Challenge. This repository provides the model and a comprehensive toolbox for spectral image recovery.
- lowcomparison#3Add a 'Comparison with Alternatives' section to the README
Why:
COPY-PASTE FIX## Comparison with Alternatives (Add a section here detailing how MST++ compares to other leading methods like HSCNN+, AWAN, and DHP-DIP in terms of performance, efficiency, and architectural innovations for spectral reconstruction.)
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- HSCNN+ · recommended 2×
- AWAN · recommended 2×
- MST++ · recommended 2×
- HRNet · recommended 1×
- Sparse Spectral Dictionary Learning (SSDL) · recommended 1×
- CATEGORY QUERYWhat are effective methods for efficient hyperspectral image reconstruction from RGB inputs?you: not recommendedAI recommended (in order):
- HSCNN+
- AWAN
- MST++
- HRNet
- Sparse Spectral Dictionary Learning (SSDL)
- GP-HSI
- NMF-based Hyperspectral Reconstruction
AI recommended 7 alternatives but never named caiyuanhao1998/MST-plus-plus. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for state-of-the-art deep learning models for spectral image recovery tasks.you: not recommendedAI recommended (in order):
- HSCNN+
- DHP-DIP
- MST++
- AWAN
- HyperK-Net
- SSPSR
AI recommended 6 alternatives but never named caiyuanhao1998/MST-plus-plus. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of caiyuanhao1998/MST-plus-plus?passAI named caiyuanhao1998/MST-plus-plus explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts caiyuanhao1998/MST-plus-plus in production, what risks or prerequisites should they evaluate first?passAI named caiyuanhao1998/MST-plus-plus explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo caiyuanhao1998/MST-plus-plus solve, and who is the primary audience?passAI did not name caiyuanhao1998/MST-plus-plus — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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- Brand-free category queries5 vs 2 in Lite
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