High-Fidelity Image Generation With Fewer Labels

03/06/2019
by   Mario Lucic, et al.
14

Deep generative models are becoming a cornerstone of modern machine learning. Recent work on conditional generative adversarial networks has shown that learning complex, high-dimensional distributions over natural images is within reach. While the latest models are able to generate high-fidelity, diverse natural images at high resolution, they rely on a vast quantity of labeled data. In this work we demonstrate how one can benefit from recent work on self- and semi-supervised learning to outperform state-of-the-art (SOTA) on both unsupervised ImageNet synthesis, as well as in the conditional setting. In particular, the proposed approach is able to match the sample quality (as measured by FID) of the current state-of-the art conditional model BigGAN on ImageNet using only 10 labels.

READ FULL TEXT

page 11

page 12

page 13

page 14

page 15

page 16

page 17

page 18

research
09/28/2018

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Despite recent progress in generative image modeling, successfully gener...
research
09/09/2020

not-so-BigGAN: Generating High-Fidelity Images on a Small Compute Budget

BigGAN is the state-of-the-art in high-resolution image generation, succ...
research
02/21/2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

We propose a three-stage training strategy called dual pseudo training (...
research
07/15/2019

Efficient Video Generation on Complex Datasets

Generative models of natural images have progressed towards high fidelit...
research
07/09/2023

Score-based Conditional Generation with Fewer Labeled Data by Self-calibrating Classifier Guidance

Score-based Generative Models (SGMs) are a popular family of deep genera...
research
12/04/2018

Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling

The unconditional generation of high fidelity images is a longstanding b...
research
09/16/2021

Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display

Holographic displays can generate light fields by dynamically modulating...

Please sign up or login with your details

Forgot password? Click here to reset