Audio-to-Video
Free audio-to-video AI tools for syncing soundtracks and dialogue to video clips, perfect for filmmakers and content creators seeking efficiency.
Audio-Synchronized Visual Animation can animate static images using audio clips to create synchronized visual animations. It uses the AVSync15 dataset and the AVSyncD diffusion model to produce high-quality animations across different audio types.
AniPortrait can generate high-quality portrait animations driven by audio and a reference portrait image. It also supports face reenactment from a reference video.
MM-Diffusion can generate high-quality audio-video pairs using a multi-modal diffusion model with two coupled denoising autoencoders.
EDTalk can create talking face videos with control over mouth shapes, head poses, and emotions. It uses an Efficient Disentanglement framework to enhance realism by manipulating facial movements through three separate areas.
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation can generate diverse and realistic videos that match natural audio samples. It uses a lightweight adaptor network to improve alignment and visual quality compared to other methods.