Sketch-to-Photo Generation using GANs

Converting face sketches into realistic photos with a pix2pix-style GAN.

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Domain
Generative AI
Year
2025
Type
Applied build — internal engineering work

This is internal engineering and R&D work, not a client project. It is published to show technical depth — the modelling, evaluation, and tooling behind the AI automation we build for clients. No client is associated with it.

A deep-learning pipeline that transforms human face sketches into full-colour, photo-realistic images using a Generative Adversarial Network. The generator maps sketches to RGB photos while the discriminator refines realism, trained on paired sketch-photo datasets in PyTorch.

Tools & methods

  • PyTorch
  • Torchvision
  • Matplotlib
  • PIL
  • CUDA
Full technical report

Objectives

  • Train a GAN to reconstruct photo images from sketch input.
  • Use L1 loss + adversarial feedback for better image fidelity.
  • Generalize across validation images with normalized training data.

Process

  • Pair grayscale sketches with their RGB photos via a custom dataset loader.
  • Generator: encoder–decoder CNN (3 conv + 3 deconv, BatchNorm, ReLU, Tanh).
  • Discriminator: CNN with LeakyReLU on the 4-channel sketch+photo input.
  • Train with BCE adversarial loss + L1 pixel loss (Adam), 100 epochs.

Results

  • Generated realistic faces capturing structure, contours and lighting.
  • Side-by-side per-epoch visualization tracked convergence.

What we took from it

  • Combining pixel-based and adversarial objectives sharpens output.
  • Conditioned GAN training and data normalization are key to fidelity.

From the report

  • Sketch-to-Photo Generation using GANs overview
    Sketch-to-Photo Generation using GANs overview

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Every project and study. Showing 26 of 27.

Products & client engagements

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    OpenInterview

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    • React.js
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    Platform launched and live at openinterview.me, serving job seekers internationally.

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    Real-estate marketplace operator · Real estate

    Beyut Libya

    Beyut Libya is an Arabic and English real estate marketplace for residential and commercial listings. Buyers use property filters to explore verified listings, while agents manage inventory through a secure admin panel.

    Delivered
    4 services
    Timeline
    October 2024 – January 2025
    • Next.js
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    Platform live and operating nationwide at beyutlibya.com.

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    Delivered
    3 services
    Timeline
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    3 services
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    • NestJS
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    Live restaurant ERP available at app.barakahaccounts.com.

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    Jewellery business · Jewellery retail & operations

    Ophir Jewellery ERP

    Ophir Jewellery ERP connects product records, inventory, customer activity, orders, and business reporting in one workspace for daily jewellery operations.

    Delivered
    3 services
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    • NestJS
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    Live jewellery ERP available at ophir.eaquirstech.com.

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  • Turner 10 sales workspace screen
    Client engagement

    Real-estate operations team · Real estate

    Turner 10 Real Estate ERP

    Turner 10 is a real estate ERP that connects property records, enquiries, availability, client information, and the operational work behind each deal.

    Delivered
    3 services
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    Live product
    • NestJS
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    Live real-estate ERP available at turner10.eaquirstech.com.

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    Hospital operations team · Healthcare administration

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    • NestJS
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    Independent product

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    Merchant

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    • Next.js 16
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Engineering & AI R&D

This is internal and academic engineering work. Each study includes its full technical report.

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