sketchedit VS co-mod-gan

Compare sketchedit vs co-mod-gan and see what are their differences.

co-mod-gan

[ICLR 2021, Spotlight] Large Scale Image Completion via Co-Modulated Generative Adversarial Networks (by zsyzzsoft)
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sketchedit co-mod-gan
1 1
234 431
- -
0.0 1.8
almost 2 years ago over 2 years ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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sketchedit

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

co-mod-gan

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

What are some alternatives?

When comparing sketchedit and co-mod-gan you can also consider the following projects:

SDEdit - PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

contrastive-unpaired-translation - Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)

Text2LIVE - Official Pytorch Implementation for "Text2LIVE: Text-Driven Layered Image and Video Editing" (ECCV 2022 Oral)

Fast-SRGAN - A Fast Deep Learning Model to Upsample Low Resolution Videos to High Resolution at 30fps

ContraD - Code for the paper "Training GANs with Stronger Augmentations via Contrastive Discriminator" (ICLR 2021)

pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs

edge-connect - EdgeConnect: Structure Guided Image Inpainting using Edge Prediction, ICCV 2019 https://arxiv.org/abs/1901.00212

TFill - [CVPR 2022]: Bridging Global Context Interactions for High-Fidelity Image Completion