disentangling-vae VS CelebAMask-HQ

Compare disentangling-vae vs CelebAMask-HQ and see what are their differences.

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations (by YannDubs)
beta-vae factor-vae vae variational-autoencoder unsupervised-learning celeba dsprites beta-tcvae disentangled-representations chairs-dataset Mnist fashion-mnist representation-learning reproducible-research Deep Learning Pytorch disentanglement
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CelebAMask-HQ

A large-scale face dataset for face parsing, recognition, generation and editing. (by switchablenorms)
celeba generative-adversarial-network face-recognition face-generation face-segmentation
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disentangling-vae CelebAMask-HQ
1 1
766 2,008
- -
0.0 10.0
over 1 year ago about 2 years ago
Python Python
GNU General Public License v3.0 or later -
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disentangling-vae

Posts with mentions or reviews of disentangling-vae. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

CelebAMask-HQ

Posts with mentions or reviews of CelebAMask-HQ. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-12.
  • Updated code for MaskGAN.
    2 projects | /r/deeplearning | 12 Nov 2022
    There was no code to train before, but I wrote it myself and the source of this code is as follows github : https://github.com/switchablenorms/CelebAMask-HQ

What are some alternatives?

When comparing disentangling-vae and CelebAMask-HQ you can also consider the following projects:

Efficient-VDVAE - Official Pytorch and JAX implementation of "Efficient-VDVAE: Less is more"

face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch

PyTorch-VAE - A Collection of Variational Autoencoders (VAE) in PyTorch.

Face_customizing - MaskGAN, face parsing, recognition, generation and editing. + train code

scvi-tools - Deep probabilistic analysis of single-cell and spatial omics data

Face Recognition - The world's simplest facial recognition api for Python and the command line

classification - Classification of the MNIST dataset using various Deep Learning techniques

BSN - [NeurIPS 2021] Why Spectral Normalization Stabilizes GANs: Analysis and Improvements

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

ALAE - [CVPR2020] Adversarial Latent Autoencoders

minimal_VAE_on_Mario - A minimal VAE trained on Super Mario Bros levels.

insightface - State-of-the-art 2D and 3D Face Analysis Project

disentangling-vae vs Efficient-VDVAE CelebAMask-HQ vs face-parsing.PyTorch disentangling-vae vs PyTorch-VAE CelebAMask-HQ vs Face_customizing disentangling-vae vs scvi-tools CelebAMask-HQ vs Face Recognition disentangling-vae vs classification CelebAMask-HQ vs BSN disentangling-vae vs benchmark_VAE CelebAMask-HQ vs ALAE disentangling-vae vs minimal_VAE_on_Mario CelebAMask-HQ vs insightface