pix2pixHD VS contrastive-unpaired-translation

Compare pix2pixHD vs contrastive-unpaired-translation and see what are their differences.

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pix2pixHD contrastive-unpaired-translation
6 6
6,498 2,081
0.8% -
0.0 2.1
10 months ago 7 months ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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pix2pixHD

Posts with mentions or reviews of pix2pixHD. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-04.

contrastive-unpaired-translation

Posts with mentions or reviews of contrastive-unpaired-translation. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-09.
  • [D] What is current SOTA in Image to Image Translation?
    3 projects | /r/MachineLearning | 9 Mar 2022
    For unpaired image-to-image translation, the SOTA is probably Contrastive Unpaired Translation, which is developed by the same group that developed CycleGAN and is kind of the successor algorithm.
  • [P] Can't finish my master's thesis. What to do?
    4 projects | /r/MachineLearning | 19 Jan 2022
    Are you using your synthetic 3D character views directly or do you use some kind of domain adaptation on them? It's been a while since I've worked with such techniques and it was more focused on semantic segmentation, so I can't tell you much about recent work in this area, but maybe you can find some inspiration here: https://paperswithcode.com/task/synthetic-to-real-translation You could for example try training something like CUT on an unpaired set of images from your 3D models and a set of real photos of soccer players, and then apply the synthetic-to-real model to your synthetic images to make them fit better into the distribution of real images.
    4 projects | /r/MachineLearning | 19 Jan 2022
    Here is link number 1 - Previous text "CUT"

What are some alternatives?

When comparing pix2pixHD and contrastive-unpaired-translation you can also consider the following projects:

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

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

sofgan - [TOG 2022] SofGAN: A Portrait Image Generator with Dynamic Styling

face-parsing.PyTorch - Using modified BiSeNet for face parsing in PyTorch

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

CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

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

Im2Vec - [CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision

DeblurGANv2 - [ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

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”.

gaussian-splatting - Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"