This repository contains the source code for the paper First Order Motion Model for Image Animation
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Updated
Dec 6, 2023 - Jupyter Notebook
This repository contains the source code for the paper First Order Motion Model for Image Animation
A collection of resources and papers on Diffusion Models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Code for the paper "Jukebox: A Generative Model for Music"
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
[NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Collection of generative models in Tensorflow
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
[CVPR2020] Adversarial Latent Autoencoders
Synthetic data generation for tabular data
[ICLR 2024] Official implementation of DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Research Framework for easy and efficient training of GANs based on Pytorch
Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"
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