pix2pixHD
contrastive-unpaired-translation
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pix2pixHD | contrastive-unpaired-translation | |
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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
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Image to hand drawn
Sources: U2Net, ArtLine, Pix2PixHD, APDrawingGAN
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[P] I made FaceShop! Instance segmentation + CGAN for editing faces (badly)
Pix2PixHD (from DeepSIM)
Uses a mix of instance segmentation (BiSeNet) and conditional GAN, and is heavily inspired by the Pix2PixHD and DeepSIM papers. Will have more details when I wake up!
contrastive-unpaired-translation
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[D] What is current SOTA in Image to Image Translation?
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.
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[P] Can't finish my master's thesis. What to do?
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.
Here is link number 1 - Previous text "CUT"
What are some alternatives?
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"