Draw an Audio: Leveraging Multi-Instruction for Video-to-Audio Synthesis
Authors: name: Qi Yang, name: Binjie Mao, name: Zili Wang, name: Xing Nie, name: Pengfei Gao, name: Ying Guo, name: Cheng Zhen, name: Pengfei Yan, name: Shiming Xiang

Foley is a term commonly used in filmmaking, referring to the addition of
daily sound effects to silent films or videos to enhance the auditory
experience. Video-to-Audio (V2A), as a particular type of automatic foley task,
presents inherent challenges related to audio-visual synchronization. These
challenges encompass maintaining the content consistency between the input
video and the generated audio, as well as the alignment of temporal and
loudness properties within the video. To address these issues, we construct a
controllable video-to-audio synthesis model, termed Draw an Audio, which
supports multiple input instructions through drawn masks and loudness signals.
To ensure content consistency between the synthesized audio and target video,
we introduce the Mask-Attention Module (MAM), which employs masked video
instruction to enable the model to focus on regions of interest. Additionally,
we implement the Time-Loudness Module (TLM), which uses an auxiliary loudness
signal to ensure the synthesis of sound that aligns with the video in both
loudness and temporal dimensions. Furthermore, we have extended a large-scale
V2A dataset, named VGGSound-Caption, by annotating caption prompts. Extensive
experiments on challenging benchmarks across two large-scale V2A datasets
verify Draw an Audio achieves the state-of-the-art. Project page:
https://yannqi.github.io/Draw-an-Audio/.