pose-driven human natural image generation based on latent diffusion model
-
Updated
Jan 21, 2023 - Jupyter Notebook
pose-driven human natural image generation based on latent diffusion model
API REST client to send your generated art to prompted.art.
The code basis for my master thesis concerning fairness in AI (2023)
Study about Generative Adversarial Networks and Diffusion Models
PyTorch Implementation of unpaired img-to-img translation via SDE.
A basic diffusion model to generate human faces from noise, from scratch.
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Reproduction and extension of "Diffusion Models Already Have a Semantic Latent Space" by Kwon et al. (2023).
Quick and simple Deep Learning projects for learning and experimenting. Ideal for beginners and those looking to practice AI concepts.
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
Codebase for the paper Prompt Mixing in Diffusion Models using the Black Scholes Algorithm
A minimum exemplar of the Palette model implemented using the PyTorch Lightning framework.
A simple PyTorch implementation of conditional denoising diffusion probabilistic models (DDPM) on MNIST, Fashion-MNIST, and Sprite datasets
Accelerating Diffusion-Based Text-to-Audio Generation with Consistency Distillation
Collecting papers about potential AIGC applications in the AEC industry.
This is the official code for the ESORICS 2024 paper "ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification"
A simple implementation of diffusion model from scratch in tensorflow.
Project for final Assignment (2AMU20)
A benchmark for evaluating hallucination of text-to-video models
Add a description, image, and links to the diffusion-models topic page so that developers can more easily learn about it.
To associate your repository with the diffusion-models topic, visit your repo's landing page and select "manage topics."