资源算法DFI

DFI

2019-09-23 | |  73 |   0 |   0

DFI

Keras implementation of Deep Feature Interpolation for Image Content Changes by Paul Upchurch, Jacob Gardner, Kavita Bala, Robert Pless, Noah Snavely, Kilian Weinberger

The technique is applied on the LFW with minor modifications.

Requirements

python modules

  • keras, theano backend

  • h5py

  • matplotlib

  • scikit-learn

  • pandas

  • opencv 3

  • numpy

  • scipy

  • tqdm

  • parmap

keras repo

Make sure to clone this repo: https://github.com/fchollet/deep-learning-models for easy access to the VGG19 model.

Part 1. Processing the data

Follow these instructions.

Part 2. Running the code

Follow these instructions

Part 3. Example results

figure

For each pair:

  • First column is the original

  • Second column is the aged original

链接:https://github.com/tdeboissiere/DeepLearningImplementations/tree/master/DFI

上一篇:Densely Connected Convolutional Networks

下一篇:Context Encoder

用户评价
全部评价

热门资源

  • seetafaceJNI

    项目介绍 基于中科院seetaface2进行封装的JAVA...

  • spark-corenlp

    This package wraps Stanford CoreNLP annotators ...

  • Keras-ResNeXt

    Keras ResNeXt Implementation of ResNeXt models...

  • capsnet-with-caps...

    CapsNet with capsule-wise convolution Project ...

  • inferno-boilerplate

    This is a very basic boilerplate example for pe...