Topic: celeba-dataset Goto Github
Some thing interesting about celeba-dataset
Some thing interesting about celeba-dataset
celeba-dataset,Face Images generated using Deep Convolutional Generative Adversarial Networks
User: akashbangera758
celeba-dataset,PyTorch Implementation of DCGAN (on CelebA dataset)
User: akashkadel
celeba-dataset,Conditional face generation experiments using GAN models on CelebA dataset.
User: alex0dd
celeba-dataset,DCGAN, VAE using CIFAR-10 dataset and CelebA dataset
User: allenedgarpoe
celeba-dataset,PyTorch implementation of the original GAN algorithm from scratch.
User: anh-nn01
celeba-dataset, Pytorch implementation of Self-Attention Generative Adversarial Networks (SAGAN) of non-cuda user s and its also used by cuda user.
User: ankitamd
celeba-dataset,A Collection of Variational Autoencoders (VAE) in PyTorch.
User: antixk
celeba-dataset,Generating imaginary facial images using DCGAN
User: apurbasengupta
celeba-dataset,Trained an End-to-End model for deblurring of celebrity faces (CelebA).
User: axium
celeba-dataset,Face detection and feature extraction web app using CelebA dataset
User: buenohernandez
celeba-dataset,Implementing VAE in keras and training on CelebA dataset
User: bvpsk
celeba-dataset,Tensorflow keras GAN
User: chansoopark98
celeba-dataset,Official adversarial mixup resynthesis repository
User: christopher-beckham
celeba-dataset,
User: christopher-beckham
celeba-dataset,This repository is related to a project of the Introduction to Numerical Imaging (i.e, Introduction à l'Imagerie Numérique in French), given by the MVA Masters program at ENS-Paris Saclay. It was entirely build from scratch and contains code in PyTorch Lightning to train and then use a neural network for image classification. We used it to create a classifier allowing semantic attributes classification of faces with the dataset CelebA-HQ.
User: clementapa
celeba-dataset,A semantic segmentation for a human parsing task in Tensorflow Python
User: daniyar1239
celeba-dataset,Using conditional variational autoencoders to manipulate the images
User: darth-kronos
celeba-dataset,Keras implementation of Variation Autoencoder for face generation. Analysis of the distribution of the latent space of the VAE. Vector arithemtic in the latent space. Morphing between the faces. The model was trained on CelebA dataset
Organization: data-science-kosta
celeba-dataset,Keras implementation of WGAN GP for face generation. The model is trained on CelebA dataset.
Organization: data-science-kosta
celeba-dataset,ProtoNet for Few-Shot Learning in TensorFlow2 and Applications
User: drmmz
celeba-dataset,Conditional VAE in Tensorflow 2 | Conditional Image Generation | CelebA dataset
User: elemisi
Home Page: https://eleonoramisino.altervista.org/play-with-conditional-generative-models/
celeba-dataset,Apply Thatcher illusion on a set of face photos
User: erfaniaa
celeba-dataset,Facial Attributes,Multi-task Learning
User: espectre
celeba-dataset,Who is your doppelgänger and more with Keras face recognition
User: golbstein
celeba-dataset,Consistency and Accuracy analysis on CelebA
User: haiyuwu
celeba-dataset,Wasserstein GAN with gradient penalty tutoria, PyTorch ver.
User: hichoe95
celeba-dataset,Variational Autoencoder trained by Feature Perceputal Loss
User: houxianxu
celeba-dataset,Image Super-Resolution using GAN
User: iamsh4shank
celeba-dataset,패치 기반 딥페이크 영상 검출에 관한 연구
User: jeonghan57
celeba-dataset,Generative Adversarial Networks in PyTorch
User: joeylitalien
celeba-dataset,A model with CycleGAN architecture for translating black & white images into colorized images
User: kooroshrh
celeba-dataset,Minimal Reproducibility Study of (https://arxiv.org/abs/1911.05248). Experiments with Compression of Deep Neural Networks
Organization: lattice-ai
Home Page: https://share.streamlit.io/sauravmaheshkar/compressed-dnns-forget/web-app/app.py
celeba-dataset,A system for altering facial expressions in images using a Variational Autoencoder
User: leon-schi
celeba-dataset,Code for the paper "Transfer Learning for Facial Attribute Prediction and Clustering" (iSCI 2019)
User: luca96
celeba-dataset,This repository is about different types of GANs in pytorch, their proper settings and training results
User: matesxs
celeba-dataset,Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs (ACM CCS'21)
User: mmalekzadeh
Home Page: https://arxiv.org/abs/2105.12049
celeba-dataset,Tensorflow implementation of StarGAN. Feature translation between images using Generative Adversarial Networks (GANs). It allows to modify a physical characteristic such as the hair color.
User: monicavillanueva
celeba-dataset,A Variational Autoencoder in PyTorch for the CelebA Dataset
User: moshesipper
celeba-dataset,Convolutional autoencoder for encoding/decoding RGB images in TensorFlow with high compression ratio
User: mrdavidyu
celeba-dataset,Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.
User: podgorskiy
celeba-dataset,GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data
User: prinsphield
Home Page: https://arxiv.org/abs/1705.04932v1
celeba-dataset,Code and notebooks related to the paper: "Reconstructing Faces from fMRI Patterns using Deep Generative Neural Networks" by VanRullen & Reddy, 2019
User: rufinv
celeba-dataset,Using Capsule Networks in GANS to generate very realistic fake images that could perhaps be used for deepfakes
User: snknitin
celeba-dataset,We will train a GAN to generate images of anime character's faces, human faces, art, and handwritten digits. We will build four generative models on MNIST, Best Artworks of All Time, CelebA, and Anime Face datasets.
User: srinivaskool
celeba-dataset,Get started with CelebA-HQ dataset in under 5 mins !
User: suvojit-0x55aa
celeba-dataset,👦 Human head semantic segmentation
User: wiktorlazarski
celeba-dataset,Variational auto-encoder trained on celebA . All rights reserved.
User: yzwxx
celeba-dataset,Code repository for "Interpretable and Accurate Fine-grained Recognition via Region Grouping", CVPR 2020 (Oral)
User: zxhuang1698
Home Page: https://www.biostat.wisc.edu/~yli/cvpr2020-interp/
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