A python implementation of Deep-Image-Analogy based on pytorch.

Last update: Dec 14, 2022

Related tags

Overview

Deep-Image-Analogy

This project is a python implementation of Deep Image Analogy.https://arxiv.org/abs/1705.01088.

Some results

Requirements

python 3
opencv3

If you use anaconda, you can install opencv3 by conda install opencv
pytorch

See pytorch for installation

Codes in branch "master" works with pytorch 0.4

Codes in branch "pytorch0.3" works with pytorch 0.3
cuda (CPU version is not implemented yet)

Usage (demo)

python main.py --resize_ratio 0.5 --weight 2 --img_A_path data/demo/ava.png --img_BP_path data/demo/mona.png --use_cuda True

Acknowledgments

My project acknowledge the official code Deep-Image-Analogy, pytorch, and another pytorch implementation. Especially, thanks for the authors of this amazing algorithm.

Owner

Peng Lu

GitHub Repository

Spam your friends and famly and when you do your famly will disown you and you will have no friends.

SpamBot9000 Spam your friends and family and when you do your family will disown you and you will have no friends. Terms of Use Disclaimer: Please onl

0 Jun 09, 2022

The best solution of the Weather Prediction track in the Yandex Shifts challenge

yandex-shifts-weather The repository contains information about my solution for the Weather Prediction track in the Yandex Shifts challenge https://re

15 Dec 18, 2022

Finetune alexnet with tensorflow - Code for finetuning AlexNet in TensorFlow >= 1.2rc0

Finetune AlexNet with Tensorflow Update 15.06.2016 I revised the entire code base to work with the new input pipeline coming with TensorFlow = versio

766 Jan 04, 2023

Pytorch for Segmentation

Pytorch for Semantic Segmentation This repo has been deprecated currently and I will not maintain it. Meanwhile, I strongly recommend you can refer to

411 Nov 22, 2022

Author's PyTorch implementation of TD3+BC, a simple variant of TD3 for offline RL

A Minimalist Approach to Offline Reinforcement Learning TD3+BC is a simple approach to offline RL where only two changes are made to TD3: (1) a weight

193 Dec 23, 2022

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

H-Transformer-1D Implementation of H-Transformer-1D, Transformer using hierarchical Attention for sequence learning with subquadratic costs. For now,

123 Nov 17, 2022

😇A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

------ Update September 2018 ------ It's been a year since TorchMoji and DeepMoji were released. We're trying to understand how it's being used such t

865 Dec 24, 2022

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework

CAPRI: Context-Aware Interpretable Point-of-Interest Recommendation Framework This repository contains a framework for Recommender Systems (RecSys), a

8 Jul 03, 2022

The project covers common metrics for super-resolution performance evaluation.

Super-Resolution Performance Evaluation Code The project covers common metrics for super-resolution performance evaluation. Metrics support The script

10 Aug 03, 2022

Google Landmark Recogntion and Retrieval 2021 Solutions

Google Landmark Recogntion and Retrieval 2021 Solutions In this repository you can find solution and code for Google Landmark Recognition 2021 and Goo

5 Nov 25, 2022

I explore rock vs. mine prediction using a SONAR dataset

I explore rock vs. mine prediction using a SONAR dataset. Using a Logistic Regression Model for my prediction algorithm, I intend on predicting what an object is based on supervised learning.

1 Jan 11, 2022

A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory"

memory_efficient_attention.pytorch A human-readable PyTorch implementation of "Self-attention Does Not Need O(n^2) Memory" (Rabe&Staats'21). def effic

7 Dec 26, 2022

Python utility to generate filesystem content for Obsidian.

Security Vault Generator Quickly parse, format, and output common frameworks/content for Obsidian.md. There is a strong focus on MITRE ATT&CK because

73 Dec 02, 2022

Official implementation of "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer"

[AAAI2022] UCTransNet This repo is the official implementation of "UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspectiv

199 Jan 03, 2023