raghakot/keras-vis

Create GAN regularizer for better natural image prior

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#4 opened on Dec 25, 2016

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Description

For activation maximization, we could use GAN discriminator trained on imagenet or a similar large corpus as a regularizer for generating natural looking images,

Contributor guide

Research direction
Use a pre trained GAN discriminator as a regularizer to encourage natural image outputs during activation maximization.
Tech stack
python
Domain
machine learningcomputer vision
Issue type
Feature
DifficultyEstimated implementation difficulty for a new contributor, from 1 for very small changes to 5 for expert-level work.
3
Estimated timeA rough time range for an experienced contributor to investigate, implement, test, and prepare a pull request.
1-2 days
Activity statusHow available the issue appears right now: fresh, active, stale, blocked, or waiting on maintainer input.
Fresh
ClarityHow clearly the issue explains the expected change, acceptance criteria, and next step.
Clear
Prerequisites
PythonKerasGANs
Newbie friendlinessA 1-100 score estimating how approachable this issue is for first-time contributors.
40