Diffusion Models crash course with Pytorch from DeepLearningAI
-
Updated
Oct 14, 2024 - Jupyter Notebook
Diffusion Models crash course with Pytorch from DeepLearningAI
Conditional Generative Adversarial Network for Molecular Dynamics frame generation
A PyTorch implementation of multimodal VRNN and VAE.
A Few-shot Personalized Image Editing model utilizing Stable Diffusion to enable precise image modifications based on textual descriptions and reference images (Course Project).
The aim of this work is to generate new face images similar to training ones (the CelebA dataset) according to user specified attributes. To do that we ended up with an implementation of a Versatile Auxiliary Classifier + GAN.
MSc Thesis on Conditional dMRI Generative AI Models and their applicability in the decreasing scan acquisition times and bettering of patient's quality of life.
A partial pytorch implementation of "Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models" for practice
Chinese couplet generation with transformer and simple transformer-based variants.
TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation
[ICLR 2022] Toy Experiments for Denoising Likelihood Score Matching for Conditional Score-based Data Generation
A PyTorch implementation of various deep generative models, including Diffusion (DDPM), GAN, cGAN, and VAE.
Code for the paper "FAME: Fragment-based Conditional Molecular Generation for Phenotypic Drug Discovery", published on SDM 2022.
Forward-backward conditional sampling
[ICLR 2022] Denoising Likelihood Score Matching for Conditional Score-based Data Generation
TRGAN: A Time-Dependent Generative Adversarial Network for Synthetic Transactional Data Generation
Official PyTorch implementation of "Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis" (ICML 2024).
Controllable Face Generation via pretrained Conditional Adversarial Latent Autoencoder (ALAE)
The code for the NeurIPS 2021 paper "A Unified View of cGANs with and without Classifiers".
[NeurIPS 2023] VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
Official Implementation of KnobGen: Controlling the Sophistication of Artwork in Sketch-Based Diffusion Models
Add a description, image, and links to the conditional-generation topic page so that developers can more easily learn about it.
To associate your repository with the conditional-generation topic, visit your repo's landing page and select "manage topics."