vision-aided-gan
pytorch-CycleGAN-and-pix2pix
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vision-aided-gan | pytorch-CycleGAN-and-pix2pix | |
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3 | 10 | |
365 | 21,952 | |
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0.0 | 2.8 | |
over 1 year ago | 7 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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vision-aided-gan
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[D] Is the GAN architecture currently old-fashioned?
If you are looking for more traditional noise -> xxx GANs, go for https://github.com/autonomousvision/projected_gan/. Another recent work is https://github.com/nupurkmr9/vision-aided-gan.
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🟢🌿 Power Up your GameStop Wallet with the Ability to Create New Marijuana Strains - GAN Interactive NFT - 7410 Available 🟢🌿
Interactive GAN NFT trained with a vision-guided StyleGAN2 using this repo. Every nug/strain generation is unique and you can also create interpolations (takes around 2 minutes to render) between two nugs/strains. If you would like to help me distribute these please specify whether you would like 50, 100, 250, or 500! Thank you so much!
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In The Latest AI Research, CMU And Adobe Researchers Propose An Elegant Emsembling Mechanism For GAN Training That Improves FID by 1.5x to 2x On The Given Dataset
Github: https://github.com/nupurkmr9/vision-aided-gan
pytorch-CycleGAN-and-pix2pix
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List of AI-Models
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- I want an A.I. to learn my art style so I can keep making art in my art style despite not having the time to do it.
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I'm looking for an AI Art generator from images
pix2pix (https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix) - This is a PyTorch implementation of the pix2pix algorithm for image-to-image translation. Given a set of images, the model can learn to generate a new image from a different domain that is similar to the input image.
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Seamless textures with SD and PBR maps with a pix2pix cGAN
Using junyanz/pytorch-CycleGAN-and-pix2pix as a basis for pix2pix, I applied the same blending method to fix seams. It essentially takes an input image and generates an output. The results depend on the paired training data. In this case, each map (height, roughness, etc.) is a separate checkpoint and had to be trained on paired training data with the diffuse as the input and the respective map as the output.
- IA art
- Segmentation and clasification with UNET
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Trying to understand PatchGAN discriminator
Code for https://arxiv.org/abs/1611.07004 found: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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I made a 3d topographic map based on my recent civ6 game
pix2pix algorithm is used for translating Civ6Maps to heightmaps. Synthesized terrain was rendered in blender.
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This Wojak Does Not Exist
https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
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Training a neural net to generate Wojaks
I'm working on creating a face-to-wojak model using PyTorch CycleGan/Pix2Pix [0] and found some of my outputs to be outrageous yet somehow relatable. People are into it so thought I'd share on HN
[0] https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix
What are some alternatives?
Anime2Sketch - A sketch extractor for anime/illustration.
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
const_layout - Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
projected-gan - [NeurIPS'21] Projected GANs Converge Faster
Deep-Fakes
StyleSwin - [CVPR 2022] StyleSwin: Transformer-based GAN for High-resolution Image Generation
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
joliGEN - Generative AI Image Toolset with GANs and Diffusion for Real-World Applications
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.