atlas

Research map / Image generation / GANs

Improving GANs Using Optimal Transport

ICLR 2018 · Image generation › GANs · approach: Stabilized GAN training · 43 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
use optimal transport matching within mini-batch energy distance (vs random matching) (ablation)OT-GAN on CIFAR-10 · CIFAR-10Inception score: 8.47 vs 4.64Helped
learn transport cost adversarially in critic feature space (vs fixed cosine on pixels) (ablation)OT-GAN on CIFAR-10 · CIFAR-10Inception score: 8.47 vs 4.93Helped
increase mini-batch size (200 to 8000) (ablation)OT-GAN on CIFAR-10 · CIFAR-10Inception scoreHelped
OT-GAN objective with mini-batch energy distance vs DAN-S loss under fixed discriminator (consistency test)GAN on 8-Gaussian mixture · 8 Gaussians toymodes covered after fixing critic: covers all 8 modes vs collapse to 3Helped
OT-GAN instead of DCGAN variant on ImageNet dogsOT-GAN · ImageNet Dogs 128x128Inception score: 8.97 vs 8.19Helped
update generator more often than critic (3:1)OT-GAN on CIFAR-10 · CIFAR-10qualitative stabilityNo clear effect

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy