DeceiveD VS ArtGAN

Compare DeceiveD vs ArtGAN and see what are their differences.

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

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”. (by cs-chan)
artwork-synthesis fine-art-paintings wikiart-dataset generative-adversarial-network image-synthesis Gan Deep Learning artgan wikiart wikiarts art-generator image-generation
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
DeceiveD ArtGAN
1 1
249 401
- -
0.0 3.6
over 2 years ago 8 months ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
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.

DeceiveD

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

ArtGAN

Posts with mentions or reviews of ArtGAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-03.
  • I'm looking for hoards of modern digital art to train an AI to generate art
    2 projects | /r/DataHoarder | 3 Mar 2021
    This could help: https://github.com/cs-chan/ArtGAN https://archive.org/details/academictorrents_1d154cde2fab9ec8039becd03d9bb877614d351b Reach out to e.g. the National Gallery of Art providing proof of your student status (like enrollment cert and a note from your prof); they might be able to provide you with a bulk download option for their paintings. Reach out to the art department and the library of your uni - they might be able to help.

What are some alternatives?

When comparing DeceiveD and ArtGAN you can also consider the following projects:

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

ebsynth - Fast Example-based Image Synthesis and Style Transfer

ALAE - [CVPR2020] Adversarial Latent Autoencoders

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch

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

StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation

Deep-Exemplar-based-Video-Colorization - The source code of CVPR 2019 paper "Deep Exemplar-based Video Colorization".

DeceiveD vs pytorch-CycleGAN-and-pix2pix ArtGAN vs ebsynth DeceiveD vs ALAE ArtGAN vs pix2pixHD DeceiveD vs anycost-gan ArtGAN vs stylegan2-pytorch DeceiveD vs MobileStyleGAN.pytorch ArtGAN vs pytorch-CycleGAN-and-pix2pix DeceiveD vs RelayDiffusion ArtGAN vs StyleSwin ArtGAN vs Deep-Exemplar-based-Video-Colorization ArtGAN vs MobileStyleGAN.pytorch