4 papers
SoundReactor: Frame-level Online Video-to-Audio Generation
Koichi Saito, Julian Tanke, Christian Simon +7
Prevailing Video-to-Audio (V2A) generation models operate offline, assuming an entire video sequence or chunks of frames are available beforehand. This critically limits their use…
TITAN-Guide: Taming Inference-Time AligNment for Guided Text-to-Video Diffusion Models
Christian Simon, Masato Ishii, Akio Hayakawa +4
In the recent development of conditional diffusion models still require heavy supervised fine-tuning for performing control on a category of tasks. Training-free conditioning via g…
CCStereo: Audio-Visual Contextual and Contrastive Learning for Binaural Audio Generation
Yuanhong Chen, Kazuki Shimada, Christian Simon +3
Binaural audio generation (BAG) aims to convert monaural audio to stereo audio using visual prompts, requiring a deep understanding of spatial and semantic information. However, cu…
SAVGBench: Benchmarking Spatially Aligned Audio-Video Generation
Kazuki Shimada, Christian Simon, Takashi Shibuya +2
This work addresses the lack of multimodal generative models capable of producing high-quality videos with spatially aligned audio. While recent advancements in generative models h…