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We introduce EgoSonics, a method to generate semantically meaningful and synchronized audio tracks conditioned on silent egocentric videos. Generating audio for silent egocentric videos could open new applications in virtual reality,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Aashish Rai , Srinath Sridhar

In many applications, synchronizing audio with visuals is crucial, such as in creating graphic animations for films or games, translating movie audio into different languages, and developing metaverse applications. This review explores…

Foley sound, audio content inserted synchronously with videos, plays a critical role in the user experience of multimedia content. Recently, there has been active research in Foley sound synthesis, leveraging the advancements in deep…

Sound · Computer Science 2024-01-18 Yoonjin Chung , Junwon Lee , Juhan Nam

The matching of the soundtrack in a movie or a video can have an enormous influence in the message being conveyed and its impact, in the sense of involvement and engagement, and ultimately in their aesthetic and entertainment qualities. Art…

Multimedia · Computer Science 2013-04-10 Jorge Gomes , Fernando Silva , Teresa Chambel

Text-based audio generation models have limitations as they cannot encompass all the information in audio, leading to restricted controllability when relying solely on text. To address this issue, we propose a novel model that enhances the…

Sound · Computer Science 2023-12-29 Zhifang Guo , Jianguo Mao , Rui Tao , Long Yan , Kazushige Ouchi , Hong Liu , Xiangdong Wang

Recent work has studied text-to-audio synthesis using large amounts of paired text-audio data. However, audio recordings with high-quality text annotations can be difficult to acquire. In this work, we approach text-to-audio synthesis using…

Multimodal generative models have shown remarkable progress in single-modality video and audio synthesis, yet truly joint audio-video generation remains an open challenge. In this paper, I explore four key contributions to advance this…

Sound · Computer Science 2026-03-18 Alejandro Paredes La Torre

Even though they differ in the physical domain, digital video and audio share many characteristics. Both are temporal data streams often stored in buffers with 8-bit values. This paper investigates a method for creating harmonic sounds with…

Human-Computer Interaction · Computer Science 2016-03-01 Carl Thomé

Sound effects build an essential layer of multimodal storytelling, shaping the emotional atmosphere and the narrative semantics of videos. Despite recent advancement in video-text-to-audio (VT2A), the current formulation faces three key…

Computer Vision and Pattern Recognition · Computer Science 2026-01-01 Bingxuan Li , Yiming Cui , Yicheng He , Yiwei Wang , Shu Zhang , Longyin Wen , Yulei Niu

Music generation aims to create music segments that align with human aesthetics based on diverse conditional information. Despite advancements in generating music from specific textual descriptions (e.g., style, genre, instruments), the…

Sound · Computer Science 2025-04-21 Jiahao Song , Yuzhao Wang

We present BlenderFusion, a generative visual compositing framework that synthesizes new scenes by recomposing objects, camera, and background. It follows a layering-editing-compositing pipeline: (i) segmenting and converting visual inputs…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Jiacheng Chen , Ramin Mehran , Xuhui Jia , Saining Xie , Sanghyun Woo

This project brings music to sight. Music can be a visual masterpiece. Some people naturally experience a visualization of audio - a condition called synesthesia. The type of synesthesia explored is when sounds create colors in the 'mind's…

Multimedia · Computer Science 2020-12-16 Matthew Joseph Adiletta , Oliver Thomas

Video-to-audio (V2A) generation aims to synthesize realistic and semantically aligned audio from silent videos, with potential applications in video editing, Foley sound design, and assistive multimedia. Although the excellent results,…

Diffusion models have emerged as powerful deep generative techniques, producing high-quality and diverse samples in applications in various domains including audio. While existing reviews provide overviews, there remains limited in-depth…

Sound · Computer Science 2026-01-16 Ge Zhu , Yutong Wen , Zhiyao Duan

There has been a growing interest in the task of generating sound for silent videos, primarily because of its practicality in streamlining video post-production. However, existing methods for video-sound generation attempt to directly…

Multimedia · Computer Science 2024-04-04 Zhifeng Xie , Shengye Yu , Qile He , Mengtian Li

Despite the impressive progress of multimodal generative models, video-to-audio generation still suffers from limited performance and limits the flexibility to prioritize sound synthesis for specific objects within the scene. Conversely,…

Computer Vision and Pattern Recognition · Computer Science 2024-12-30 Yujin Jeong , Yunji Kim , Sanghyuk Chun , Jiyoung Lee

Spatial audio is crucial for immersive 360-degree video experiences, yet most 360-degree videos lack it due to the difficulty of capturing spatial audio during recording. Automatically generating spatial audio such as first-order ambisonics…

Sound · Computer Science 2026-04-13 Ziyu Luo , Lin Chen , Qiang Qu , Xiaoming Chen , Yiran Shen

Spatial audio is crucial for immersive 360-degree video experiences, yet most 360-degree videos lack it due to the difficulty of capturing spatial audio during recording. Automatically generating spatial audio such as first-order ambisonics…

Sound · Computer Science 2026-05-05 Ziyu Luo , Lin Chen , Qiang Qu , Xiaoming Chen , Yiran Shen

Foley synthesis aims to synthesize high-quality audio that is both semantically and temporally aligned with video frames. Given its broad application in creative industries, the task has gained increasing attention in the research…

Sound · Computer Science 2025-07-21 Zhi Zhong , Akira Takahashi , Shuyang Cui , Keisuke Toyama , Shusuke Takahashi , Yuki Mitsufuji

We introduce SoundVista, a method to generate the ambient sound of an arbitrary scene at novel viewpoints. Given a pre-acquired recording of the scene from sparsely distributed microphones, SoundVista can synthesize the sound of that scene…