# ferdous-alam/GenCAD

Repository: https://github.com/ferdous-alam/GenCAD
Canonical: https://ross.abutalabs.com/products/gencad
Language: Python
License Family: other
Last push: 2025-07-14T17:19:30+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 31, release rhythm 35, longevity 51
- inputs: {"age_days": 716, "days_push": 415, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3669, forks 452 (observed 2026-08-28T04:08:13.478461+00:00)

## What it is
GenCAD is a research codebase for image-conditioned CAD model generation using transformer-based contrastive representations (CCIP) and diffusion priors, published in TMLR 2025. It includes training scripts, pretrained checkpoints, and inference pipelines built on Python and pythonocc-core.

## Use cases
- generate CAD models from images
- train a contrastive CAD representation model
- run diffusion prior training for CAD generation
- reconstruct CAD geometry from sketch images
- reproduce TMLR paper results on image-to-CAD generation

## When to choose
- you need image-to-CAD generation with pretrained models
- you want to reproduce or extend the GenCAD paper
- you need a research baseline for generative CAD modeling

## When to avoid
- you need a production CAD tool with a GUI
- you want a stable, licensed library for commercial use (no license specified)
- you lack GPU resources for training or inference

## Facets
- artifact type: library
- maturity: active
- function: machine-learning, deep-learning, computer-vision, image-processing, graphics, simulation
- domain: machine-learning, computer-vision, graphics, artificial-intelligence, developer-tools
- platform: python
- tags: cad-generation, diffusion-models, contrastive-learning, transformer, image-to-cad, research-code, pythonocc, generative-models, linux, docker, gpu

## Member repositories
- ferdous-alam/GenCAD (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.478461+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:31:20.752870+00:00, confidence not recorded.
  - readme: https://github.com/ferdous-alam/GenCAD (fetched 2026-08-28T04:08:13.478461+00:00, sha d70fd011c3de)
- Data as of 2026-08-30T08:39:29.467469+00:00.