Modern agriculture operates at an unprecedented crossroads, it must simultaneously accelerate crop yields to feed an expanding global population and adapt to the severe, fluctuating pressures of ...

Abstract: Nowadays, there is a proliferation of generative AI methods accessible to the masses. Both open source and paid algorithms are capable of creating deepfake images with the likelihood of a ...

Generative AI development now involves layered stacks combining training, orchestration, multimodal generation, and evaluation for real-world deployment. Libraries like PyTorch, Transformers, and ...

Abstract: Infrared images, with their all-time imaging capability, have been widely applied in fields such as military and security. However, due to the difficulty in acquiring infrared images, ...

Official implementation of Adding Conditional Control to Text-to-Image Diffusion Models. ControlNet is a neural network structure to control diffusion models by adding extra conditions. It copys the ...

We developed PtosisDiffusion, a training-free workflow that combines face mesh with ControlNet for accurate post-operative predictions, and evaluated it using 39 preoperative photos from ...

AI art generators have moved from novelty to niche to even commodity in just months, with numerous services promising the ability to create generative AI art instantly using natural-language text ...

Since AI image generation captured the public's fascination last summer with the release of DALL-E, researchers have been coming up with ways to identify images as being made by AI. Google DeepMind ...