MobileStyleGAN.pytorch VS DeceiveD

Compare MobileStyleGAN.pytorch vs DeceiveD and see what are their differences.

MobileStyleGAN.pytorch

An official implementation of MobileStyleGAN in PyTorch (by bes-dev)
Stylegan2 stylegan2-pytorch Openvino sylegan Gan Mobile Development image-synthesis
Source Code
Suggest alternative
Edit details

DeceiveD

[NeurIPS 2021] Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data (by EndlessSora)
generative-adversarial-network Gan image-generation image-synthesis limited-data few-shot Stylegan2 neurips-2021 generative-model
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
MobileStyleGAN.pytorch DeceiveD
1 1
656 249
- -
0.0 0.0
about 2 years ago over 2 years ago
Python Python
Apache License 2.0 GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MobileStyleGAN.pytorch

Posts with mentions or reviews of MobileStyleGAN.pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-13.

DeceiveD

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

What are some alternatives?

When comparing MobileStyleGAN.pytorch and DeceiveD you can also consider the following projects:

PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch

ArtGAN - ArtGAN + WikiArt: This work presents a series of new approaches to improve GAN for conditional image synthesis and we name the proposed model as “ArtGAN”.

APDrawingGAN - Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

ALAE - [CVPR2020] Adversarial Latent Autoencoders

concept-ablation - Ablating Concepts in Text-to-Image Diffusion Models (ICCV 2023)

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

RelayDiffusion - The official implementation of "Relay Diffusion: Unifying diffusion process across resolutions for image synthesis" [ICLR 2024 Spotlight]

MobileStyleGAN.pytorch vs PINTO_model_zoo DeceiveD vs pytorch-CycleGAN-and-pix2pix MobileStyleGAN.pytorch vs ArtGAN DeceiveD vs ArtGAN MobileStyleGAN.pytorch vs APDrawingGAN DeceiveD vs ALAE MobileStyleGAN.pytorch vs concept-ablation DeceiveD vs anycost-gan DeceiveD vs RelayDiffusion