121 Open source projects that are alternatives of or similar to Mirrorgan

A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

EigenGAN: Layer-Wise Eigen-Learning for GANs (ICCV 2021)

Pytorch implementation of MixNMatch

AttentionGAN for Unpaired Image-to-Image Translation & Multi-Domain Image-to-Image Translation

Using cGANs to remove objects from a photo

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation

Pytorch official implementation of Anime to Real Clothing: Cosplay Costume Generation via Image-to-Image Translation.

Attacking Speaker Recognition with Deep Generative Models

DEPRECATED: Depth Map Estimation from Monocular Images

[SIGGRAPH Asia 2019] Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

[CVPR '21] Official repository for Few-shot Image Generation via Cross-domain Correspondence

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

VapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)

GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis

line drawing colorization using TensorFlow

🏖 Keras Implementation of Painting outside the box

BigGAN; Knowledge Distillation; Black-Box; Fast Training; 16x compression

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

Bringing Old Photo Back to Life (CVPR 2020 oral)

Synthetic Data Generation for tabular, relational and time series data.

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN

Generative Adversarial Networks (GANs) resources sorted by citations

Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper

A very simple generative adversarial network (GAN) in PyTorch

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Research Framework for easy and efficient training of GANs based on Pytorch

[NeurIPS 2018] 3D-Aware Scene Manipulation via Inverse Graphics

Generative Adversarial Networks implemented in PyTorch and Tensorflow

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

🔥3D-RecGAN++ in Tensorflow (TPAMI 2018)

Generative deep learning: DeepDream

[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training

Deep Learning Super Sampling with Deep Convolutional Generative Adversarial Networks.

MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel, CycleGAN

Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors

[NeurIPS 2018] Visual Object Networks: Image Generation with Disentangled 3D Representation.

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Generate Cartoon Images using Generative Adversarial Network

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Implementation of the paper : "Toward Multimodal Image-to-Image Translation"

Generative Adversarial Transformers

[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Toward Multimodal Image-to-Image Translation

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks

A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps