doantientai's repositories

cyclegan-1

Tensorflow implementation of CycleGANs

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HomographyNet

estimate the relative homography between a pair of images

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data-efficient-gans

Differentiable Augmentation for Data-Efficient GAN Training

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DeepSIM

Official PyTorch implementation of the paper: “Deep Single Image Manipulation”.

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pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

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posenet-sketchbook

PoseNet Sketchbook is a collection of open source, interactive web experiments designed to allude to the artistic possibilities of using PoseNet (running on tensorflow.js) to create a relationship between movement and machine.

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pytorch-fid

A Port of Fréchet Inception Distance (FID score) to PyTorch

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PIFu

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

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pifuhd

High-Resolution 3D Human Digitization from A Single Image.

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noisystudent

Code for Noisy Student Training. https://arxiv.org/abs/1911.04252

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tunit

Rethinking the Truly Unsupervised Image-to-Image Translation - Official PyTorch Implementation

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SMIS

Semantically Multi-modal Image Synthesis(CVPR 2020)

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BicycleGAN

Toward Multimodal Image-to-Image Translation

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TTUR

Two time-scale update rule for training GANs

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FADA-Pytorch

pytorch implement for the paper Few-Shot Adversarial Domain Adaptation

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TF20-Classifier

A super simple implementation of a classifier using tensorflow 2.0.0

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Semi-supervised-segmentation-cycleGAN

Pytorch implementation of our paper: Revisting Cycle-GAN for semi-supervised segmentation

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DCGAN-LSGAN-WGAN-GP-DRAGAN-Pytorch

DCGAN LSGAN WGAN-GP DRAGAN PyTorch

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talking-heads

Our implementation of "Few-Shot Adversarial Learning of Realistic Neural Talking Head Models" (Egor Zakharov et al.)

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BigGAN-PyTorch

The author's officially unofficial PyTorch BigGAN implementation.

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awsome-domain-adaptation

A collection of AWESOME things about domian adaptation

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Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

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paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

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root-unet

using unet for segmenting tree-root images

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