Abstract: Controllable text generation is the primary technique for controlling specific attributes such as topic, keywords and obtaining augmented data. This work proposes a novel controllable text ...

Abstract: In this article, we propose an efficient remote sensing fake sample generation (RSFSG) framework based on the diffusion model, so as to generate controllable samples consistent with real ...

The code is tested with Pytorch==1.12.0 and cuda 11.3 on V100 servers. To setup the python environment, follow: ...

Install packages in requirements.txt. We test our model on a 24G RTX4090 GPU with Python 3.10, CUDA 11.8 and Pytorch 2.0.1. conda create -n dreamcomposer conda ...