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Developer seeks feedback on amodal infilling and node placement for raster-to-vector tool

A developer is seeking feedback on a proposed architecture for an open-source raster-to-vector tracer called Inkvec. The primary goal is to improve the tool's ability to perform amodal infilling, which involves predicting and completing hidden shapes within an image, aiming for a median IoU of 0.52 on emoji datasets. The developer also plans to refine node placement for more human-like vector outputs, using a 1D CNN and potentially flow matching, with a target of under 100 million parameters for the entire system. AI

IMPACT This work could lead to more sophisticated vectorization tools capable of reconstructing hidden geometry.

RANK_REASON Developer seeking feedback on an open-source tool's architecture.

Read on r/MachineLearning →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer seeks feedback on amodal infilling and node placement for raster-to-vector tool

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3 / 100
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Tool
Developer seeking feedback on an open-source tool's architecture.
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product, other
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High
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Breaking (< 6h)
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COVERAGE [1]

  1. r/MachineLearning TIER_1 English(EN) · /u/incorporo ·

    I need feedback on this architecture for amodal raster-to-vector using a hybrid approach. [D]

    <table> <tr><td> <a href="https://www.reddit.com/r/MachineLearning/comments/1xutg9v/i_need_feedback_on_this_architecture_for_amodal/"> <img alt="I need feedback on this architecture for amodal raster-to-vector using a hybrid approach. [D]" src="https://preview.redd.it/4mnyu7bmx91…