Tencent has introduced HunyuanVideo-Foley, a new AI model that can create realistic background sounds for videos. It uses both video and text as input to generate clear and natural Foley sounds, like footsteps, clapping, or doors closing.
The Problem
- Most AI models that make sounds from videos struggle with timing and meaning. They often fail to match the sound with what’s happening on the screen, or the audio doesn’t fit the scene. This makes the result feel unnatural.
What’s New
Multimodal Diffusion
- The model uses a special diffusion-based design.
- It looks at both the video and text together, so the audio is created in sync with the action.
Representation Alignment
- The AI checks its own sound against reference models.
- This helps it improve accuracy, making the audio more realistic and better matched to the visuals.
Results
Tests show that HunyuanVideo-Foley performs better than other models in:
- Audio quality: the sound is clear and rich
- Matching visuals: sounds fit naturally with the scene
- Timing: audio is in perfect sync with actions
- Realism: generated audio feels close to real recordings
Summary
Tencent’s HunyuanVideo-Foley is an AI model that generates realistic, well-timed background sounds for videos using both video and text input. It solves the problem of poor syncing and unnatural audio found in earlier models by using a diffusion-based design and a new alignment method. Tests show it produces high-quality, natural audio that matches actions on screen, making it a valuable tool for creating more immersive films, animations, and digital content.
