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fashion-image-inpainting

A Benchmark for Inpainting of Clothing Images with Irregular Holes

Accepted to the European Conference on Computer Vision, ECCV 2020, Advances in Image Manipulation workshop and challenges on image and video manipulation AIM2020

Masked & Generated Images

Project Details

Framework: PyTorch

Datasets: FashionGen, FashionAI, DeepFashion, DeepFashion2

Masks: qd-imd

Base code: birdortyedi

Hardware: 2x GTX 1080Ti or 2x Tesla V100

git clone https://github.com/birdortyedi/fashion-image-inpainting.git

Requirements

  • Python >= 3.6
  • torch >= 1.2.0
  • torchvision >= 0.4.2
  • tensorboardX >= 1.9
  • numpy >= 1.16
  • pillow >= 6.2.0
  • h5py >= 2.10.0
  • tqdm >= 4.38.0
  • colorama >= 0.4.1

Run

python main.py

TODO: use argparser

Implementation Details

Architecture

Hyper-parameters

Hyper-parameter Value
Optimizer Adam
Betas [0.5, 0.9]
Generator LR 0.0002
Discriminator LR 0.0001
Scheduler Exponential
Schedule Rate 0.9
Batch Size 32
Mask Form Free-form
Multi-GPU True

Pre-processing

Methods Range
Flipping Horizontal
Resizing 256

Weights

DF2 FG

Results

Quantitative Results

Quantitative

Qualitative Results

Qualitative

Inpainting Clothings

Inpainting

Effect of dilation on Partial Convolutions

Dilation

More Qualitative Results

More Results

Contacts

Please feel free to open an issue or to send an e-mail to [email protected]

fashion-image-inpainting's People

Contributors

birdortyedi avatar

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