maria-korosteleva/Garment-Pattern-Estimation
Reconstructing garment sewing patterns from 3D point clouds
This project helps fashion designers, tailors, and garment manufacturers recreate sewing patterns directly from 3D scans of existing clothing. You input a 3D point cloud of a garment, and it outputs the underlying 2D sewing pattern structure. This is ideal for reverse engineering garments or digitizing physical samples into a production-ready format.
161 stars. No commits in the last 6 months.
Use this if you need to convert a 3D scan of a physical garment into a usable 2D sewing pattern for design or manufacturing.
Not ideal if you are designing a garment from scratch without a physical 3D reference, or if you only need to simulate garments without extracting patterns.
Stars
161
Forks
19
Language
Python
License
MIT
Category
Last pushed
Dec 23, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/maria-korosteleva/Garment-Pattern-Estimation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
openspyrit/spyrit
A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.
RobotLocomotion/pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
Fyusion/LLFF
Code release for Local Light Field Fusion at SIGGRAPH 2019
pmh47/dirt
DIRT: a fast differentiable renderer for TensorFlow
marrlab/SHAPR_torch
SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D...