OASIS VS anycost-gan

Compare OASIS vs anycost-gan and see what are their differences.

OASIS

Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021) (by boschresearch)
semantic-image-synthesis Gan image-to-image-translation Computer Vision multi-modal generative-adversarial-networks Deep Learning Pytorch image-generation label-to-image-translation oasis iclr2021 Machine Learning bcai
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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
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OASIS anycost-gan
1 1
317 769
2.5% 0.3%
10.0 2.5
over 1 year ago 7 months ago
Python Python
GNU Affero General Public License v3.0 MIT License
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OASIS

Posts with mentions or reviews of OASIS. We have used some of these posts to build our list of alternatives and similar projects.
  • StyleGAN-NADA: Blind Training and Other Wonders
    1 project | dev.to | 7 Dec 2022
    Conclusion So this is how StyleGAN-NADA, a CLIP-guided zero-shot method for Non-Adversarial Domain Adaptation of image generators, works. Although the StyleGAN-NADA is focused on StyleGAN, it can be applied to other generative architectures such as OASIS and many others.

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 OASIS and anycost-gan you can also consider the following projects:

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

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

Keras-GAN - Keras implementations of Generative Adversarial Networks.

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

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.

AdamP - AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights (ICLR 2021)

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

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

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

clean-fid - PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

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

OASIS vs Deep-Exemplar-based-Video-Colorization anycost-gan vs lightweight-gan OASIS vs Keras-GAN anycost-gan vs pytorch-CycleGAN-and-pix2pix OASIS vs pytorch-CycleGAN-and-pix2pix anycost-gan vs PaddleGAN OASIS vs AdamP anycost-gan vs Anime-face-generation-DCGAN-webapp OASIS vs pix2pixHD anycost-gan vs stylegan-waifu-generator OASIS vs clean-fid anycost-gan vs DeepSIM