😎 Tsinghua University, 🥳 Shanghai AI Laboratory (Correspondence: Jingbo Wang and Bo Dai). This work introduces MotionLCM, extending controllable motion generation to a real-time level. Existing ...

Abstract: The landscape of image generation has been forever changed by open vocabulary diffusion models. However, at their core these models use transformers, which makes generation slow. Better ...

Before starting, you need to create a virtual environment. It is recommended to use conda. If you are not comfortable using conda, create a Python 3.10 environment in your own way.

Abstract: This study presents a mural restoration method leveraging Generative Adversarial Network (GAN) technology, specifically combining Stable Diffusion and ControlNet models. The method addresses ...