DeceiveD VS anycost-gan

Compare DeceiveD vs anycost-gan 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

anycost-gan

[CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing (by mit-han-lab)
Computer Vision Deep Learning computer-graphics generative-adversarial-network Gan image-generation image-manipulation Image Editing Gans Pytorch Stylegan2
Source Code
hanlab.mit.edu
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 anycost-gan
1 1
249 769
- 0.3%
0.0 2.5
over 2 years ago 7 months ago
Python Python
GNU General Public License v3.0 or later MIT 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.

anycost-gan

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

What are some alternatives?

When comparing DeceiveD and anycost-gan you can also consider the following projects:

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

lightweight-gan - Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

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”.

ALAE - [CVPR2020] Adversarial Latent Autoencoders

PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

MobileStyleGAN.pytorch - An official implementation of MobileStyleGAN in PyTorch

Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp

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

stylegan-waifu-generator - Generate your waifu with styleGAN, stylegan老婆生成器

DeepSIM - Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

the-gan-zoo - A list of all named GANs!

DeceiveD vs pytorch-CycleGAN-and-pix2pix anycost-gan vs lightweight-gan DeceiveD vs ArtGAN anycost-gan vs pytorch-CycleGAN-and-pix2pix DeceiveD vs ALAE anycost-gan vs PaddleGAN DeceiveD vs MobileStyleGAN.pytorch anycost-gan vs Anime-face-generation-DCGAN-webapp DeceiveD vs RelayDiffusion anycost-gan vs stylegan-waifu-generator anycost-gan vs DeepSIM anycost-gan vs the-gan-zoo