DeFMO VS disentangling-vae

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

DeFMO

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects (by rozumden)
fast-moving-objects temporal-super-resolution deblurring Deep Learning semi-supervised-learning synthetic-dataset-generation motion-blur disentangled-representations cvpr2021 Dataset
Source Code
github.com
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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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DeFMO disentangling-vae
1 1
164 753
- -
1.8 0.0
about 2 years ago about 1 year ago
Python Python
MIT License GNU General Public License v3.0 or later
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DeFMO

Posts with mentions or reviews of DeFMO. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

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

MonoRec - Official implementation of the paper: MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments from a Single Moving Camera (CVPR 2021)

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

Awesome-Deblurring - A curated list of resources for Image and Video Deblurring

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

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

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

CelebAMask-HQ - A large-scale face dataset for face parsing, recognition, generation and editing.

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

Awesome-VAEs - A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

pytask - pytask is a workflow management system that facilitates reproducible data analyses.

DeFMO vs PyTorch-NLP disentangling-vae vs Efficient-VDVAE DeFMO vs MonoRec disentangling-vae vs PyTorch-VAE DeFMO vs Awesome-Deblurring disentangling-vae vs scvi-tools disentangling-vae vs classification disentangling-vae vs benchmark_VAE disentangling-vae vs CelebAMask-HQ disentangling-vae vs minimal_VAE_on_Mario disentangling-vae vs Awesome-VAEs disentangling-vae vs pytask