GitHub

ControlNet: Adding Conditional Control to Text-to-Image Diffusion Models

All testing and development was conducted on 4x 16GB NVIDIA V100 GPUs 64-bit Python 3.8 and PyTorch 2.1 (or later). See https://pytorch.org for PyTorch install ...
IEEE

Editing Music with Melody and Text: Using ControlNet for Diffusion Transformer

Abstract: Despite the significant progress in controllable music generation and editing, challenges remain in the quality and length of generated music due to the use of Mel-spectrogram ...
GitHub

EarthSynth: Generating Informative Earth Observation with Diffusion Models

Remote sensing image (RSI) interpretation typically faces challenges due to the scarcity of labeled data, which limits the performance of RSI interpretation tasks. To tackle this challenge, we propose ...
IEEE

Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network ...

Abstract: Generative Diffusion Models (GDMs) have emerged as a transformative force in the realm of Generative Artificial Intelligence (GenAI), demonstrating their versatility and efficacy across ...
Investopedia

Understanding the Diffusion of Innovations Theory with Examples

Clay Halton was a Business Editor at Investopedia and has been working in the finance publishing field for more than five years. He also writes and edits personal finance content, with a focus on ...