pfnet-research/sngan_projection

Health v2 · maintenance only

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1103 stars · 201 forks observed · 2026-08-28

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

Official Chainer implementation of GANs using spectral normalization and projection discriminators for conditional image generation on ImageNet. It includes training scripts, preprocessing utilities, and pretrained models from the associated ICLR 2018 papers.

Use cases

• train a conditional GAN on ImageNet
• reproduce SNGAN and projection cGAN paper results
• generate class-conditional images with pretrained models
• study spectral normalization implementations
• interpolate between image categories with a GAN

When to choose

• you need the reference implementation of spectral normalization or projection discriminator GANs
• you want to reproduce the ICLR 2018 SNGAN/cGAN paper experiments
• you work with Chainer and want pretrained ImageNet GAN models

When to avoid

• you need PyTorch or TensorFlow implementations
• you want actively maintained code for production use
• you lack a GPU or the ImageNet dataset

Facets

library · maturity maintenance

machine-learning deep-learning image-processing machine-learning deep-learning computer-vision image-processing python gan spectral-normalization projection-discriminator chainer conditional-generation imagenet research-code gpu linux

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markdown · JSON · MCP: product_card(name="pfnet-research/sngan_projection")