Sound Guided Image Manipulation

Sound-guided image manipulation uses audio input to modify or generate images, leveraging the inherent connection between auditory and visual experiences. Current research primarily focuses on integrating audio features into pre-trained diffusion models, often by mapping audio representations into a shared embedding space with text and images, enabling manipulation through latent optimization or direct token injection. This approach allows for more nuanced image control than text alone, offering richer semantic cues and dynamic expression, with applications in creative content generation, robotic art, and potentially advanced user interfaces.