PaperFigureLib
Every figure from top-venue CS papers, labelled by type and served as a style-reference gallery
Details
- External ID
- 1378159761
- Source
- GITHUB
- Company
- —
- Product
- PaperFigureLib
- Website domain
- paperfigure.net
- Launched
- Sept. 20, 2026
- Cohort
- —
- Upvotes
- 9
- Upvotes percentile
- 0.21822956699974377
- Tags
- —
- Fetched at
- Sept. 23, 2026, 1:02 a.m.
- Updated at
- Sept. 23, 2026, 1:02 a.m.
Enrichment
- Theme
- creative coding and visual experiments
- Vertical
- Education
- Function
- Search & retrieval
- Audience
- Developer
- AI stance
- Not AI
- Project type
- Hobby / open-source project
- Normalized one-liner
- cs paper figure gallery for academic researchers
- Manually corrected
- False
Could you build this?
Partial The gallery UI and filter search interface are simple to vibe-code, but extracting, parsing, and classifying thousands of figures and captions from academic PDF papers requires an extensive document parsing and vision-ML pipeline.
What it would actually take: Requires an ingestion and extraction pipeline using tools like Grobid, PyMuPDF, or Nougat to parse arXiv/top-venue CS PDFs, segment vector and raster figures, and associate them with context captions. A multi-modal classifier (e.g., fine-tuned CLIP or vision LLM) is needed to categorize figures by type (architecture, methodology, data plot), backed by cloud object storage (S3/Cloudflare R2) and a vector/relational search database.
Competitors
Other products that read as similar to this one — 462 launches clear the similarity bar, closest 8 shown.
Attention rank: #332 of 463 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 324 days after the earliest competitor.
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Other launches for this product
- No other launches for this product.