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aiff22/DPED

Software and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks observed · 2026-08-28

github.com/aiff22/DPED · Python observed · 2026-08-28

Health v2 · maintenance only

49/100

  • Activity 38
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3297
  • days_rel: n/a
  • days_push: 375
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1710 stars · 366 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

DPED is a Python/TensorFlow implementation of a deep convolutional network approach that translates ordinary smartphone photos into DSLR-quality images, based on the ICCV 2017 paper of the same name. It includes training scripts, pre-trained models for iPhone, BlackBerry, and Sony photos, and the DPED dataset of paired photo patches.

Use cases

  • enhance smartphone photos to DSLR quality automatically
  • train a GAN for photo quality enhancement
  • apply pre-trained image enhancement models to arbitrary-resolution photos
  • research image-to-image translation with adversarial losses
  • improve color and texture of mobile camera photos

When to choose

  • you want to enhance mobile photos with a proven deep learning model
  • you need a research baseline for photo enhancement with GANs
  • you want to train custom enhancement models on the DPED dataset

When to avoid

  • you need a maintained production library with a license
  • you cannot use an Nvidia GPU or TensorFlow 1.x/2.x
  • you need RAW photo enhancement or bokeh effects (see PyNET projects instead)

Facets

library · maturity maintenance

image-processing machine-learning deep-learning computer-vision image-processing deep-learning photography python cross-platform photo-enhancement gan image-to-image-translation cnn tensorflow dped-dataset research-code gpu linux

1 source

Member repositories

RepositoryRoleHealth v2
aiff22/DPEDmain49

For agents

markdown · JSON · MCP: product_card(name="aiff22/DPED")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem