text2mesh
pytorch-CycleGAN-and-pix2pix
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| text2mesh | pytorch-CycleGAN-and-pix2pix | |
|---|---|---|
| 14 | 10 | |
| 877 | 21,066 | |
| 0.9% | - | |
| 0.0 | 0.0 | |
| 5 months ago | about 1 month ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU General Public License v3.0 or later |
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text2mesh
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Ai generated 3d models?
Text2Mesh
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Absolutely crazy - addon in blender to add textures to models with text prompts. Dream Textures (SD for Blender) - free addon. My god, it's accelerating at the speed of light.
Or this one: https://github.com/threedle/text2mesh
- Make-A-Video is a state-of-the-art AI system that generates videos from text
- Who is building StableDiffusion/DALL-E but for 3D assets?
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How long until AI is able to make assets from a prompt?
https://medium.com/mlearning-ai/text-to-3d-generation-cb8ce2c7f0f7 https://threedle.github.io/text2mesh/ https://www.nasir.lol/clipmesh
- [D] Diffusers applied to 3D model generation
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[R] Researchers from the University of Chicago and Tel Aviv University Introduce ‘Text2Mesh’: A Novel Framework to Alter both Color and Geometry of 3D Meshes According to a Textual Target
Code for https://arxiv.org/abs/2112.03221 found: https://threedle.github.io/text2mesh/
pytorch-CycleGAN-and-pix2pix
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List of AI-Models
Click to Learn more...
- 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.
What are some alternatives?
pix2pixHD - Synthesizing and manipulating 2048x1024 images with conditional GANs
generative-inpainting-pytorch - A PyTorch reimplementation for paper Generative Image Inpainting with Contextual Attention (https://arxiv.org/abs/1801.07892)
pytorch-grad-cam - Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
Deep-Fakes
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.
AnimeGAN - Generating Anime Images by Implementing Deep Convolutional Generative Adversarial Networks paper
Anime-face-generation-DCGAN-webapp - A port of my Anime face generation using Pytorch into a Webapp
DeepMosaics - Automatically remove the mosaics in images and videos, or add mosaics to them.
SimSwap - An arbitrary face-swapping framework on images and videos with one single trained model!
anycost-gan - [CVPR 2021] Anycost GANs for Interactive Image Synthesis and Editing
CycleGAN - Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Im2Vec - [CVPR 2021 Oral] Im2Vec Synthesizing Vector Graphics without Vector Supervision