Image/video generative AI SOTA

Diffusion models are deep generative models that work by adding noise (Gaussian noise) to the available training data (also known as the forward diffusion process) and then reversing the process (known as denoising or the reverse diffusion process) to recover the data.
识别和生成在最新的AI技术里就是相辅相成、相爱相杀的一对。