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A newer version of the Gradio SDK is available: 5.49.1

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metadata
title: FlowIID Intrinsic Image Decomposition
emoji: 🎨
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 4.0.0
app_file: app.py
pinned: false
license: mit

FlowIID: Single-Step Intrinsic Image Decomposition

This space demonstrates FlowIID, a novel approach for intrinsic image decomposition that separates images into albedo (reflectance) and shading components using latent flow matching.

Features

  • Single-step inference: Results in just one forward pass
  • Parameter efficient: Only 52M parameters
  • Real-time processing: Fast decomposition for interactive use

How to Use

  1. Upload any image (JPG, PNG)
  2. Click "Submit" to process
  3. Get albedo and shading components instantly!

Model Details

  • Architecture: VAE + UNet with Flow Matching
  • Training: Hypersim, InteriorVerse, MID datasets
  • Performance: State-of-the-art results on MIT Intrinsic and ARAP benchmarks

Links