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ReDesign framework reconstructs editable design files from images

Researchers have developed ReDesign, an agentic framework designed to reconstruct editable design files from raster images. This system utilizes specialized tools across various modalities to build an editable layer hierarchy, incorporating graceful verification to prevent error accumulation. The framework was evaluated using the Figma Edit Replay Benchmark, demonstrating superior visual fidelity and editability compared to existing methods. AI

IMPACT This framework could streamline design workflows by automating the reconstruction of editable design files from images.

RANK_REASON The cluster describes a research paper detailing a new framework and benchmark.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

ReDesign framework reconstructs editable design files from images

COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition

    Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, yet remains challenging since editability depends on recovering multi-modal attributes, such as typography, vector geometry, colors, grouping, and layer ordering. …

  2. arXiv cs.CV TIER_1 English(EN) · Jooyeol Yun, Jintae Park, Hyesu Lim, Junha Hyung, Hyungjin Chung, Jaegul Choo ·

    ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition

    arXiv:2607.25565v1 Announce Type: new Abstract: Recovering an editable design file from a raster image is a common and costly bottleneck in modern design workflows, yet remains challenging since editability depends on recovering multi-modal attributes, such as typography, vector …