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Related papers: SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spat…

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Binaural stereo audio is recorded by imitating the way the human ear receives sound, which provides people with an immersive listening experience. Existing approaches leverage autoencoders and directly exploit visual spatial information to…

Sound · Computer Science 2023-11-15 Zhaojian Li , Bin Zhao , Yuan Yuan

How does audio describe the world around us? In this work, we propose a method for generating images of visual scenes from diverse in-the-wild sounds. This cross-modal generation task is challenging due to the significant information gap…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Kim Sung-Bin , Arda Senocak , Hyunwoo Ha , Tae-Hyun Oh

Humans can robustly recognize and localize objects by integrating visual and auditory cues. While machines are able to do the same now with images, less work has been done with sounds. This work develops an approach for dense semantic…

Computer Vision and Pattern Recognition · Computer Science 2020-03-10 Arun Balajee Vasudevan , Dengxin Dai , Luc Van Gool

For immersive applications, the generation of binaural sound that matches its visual counterpart is crucial to bring meaningful experiences to people in a virtual environment. Recent studies have shown the possibility of using neural…

Sound · Computer Science 2023-05-22 Francesc Lluís , Vasileios Chatziioannou , Alex Hofmann

In this paper, we study zero-shot learning in audio classification via semantic embeddings extracted from textual labels and sentence descriptions of sound classes. Our goal is to obtain a classifier that is capable of recognizing audio…

Audio and Speech Processing · Electrical Eng. & Systems 2021-02-12 Huang Xie , Tuomas Virtanen

Human perceives rich auditory experience with distinct sound heard by ears. Videos recorded with binaural audio particular simulate how human receives ambient sound. However, a large number of videos are with monaural audio only, which…

Sound · Computer Science 2021-05-04 Yan-Bo Lin , Yu-Chiang Frank Wang

Stereophonic audio is an indispensable ingredient to enhance human auditory experience. Recent research has explored the usage of visual information as guidance to generate binaural or ambisonic audio from mono ones with stereo supervision.…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Hang Zhou , Xudong Xu , Dahua Lin , Xiaogang Wang , Ziwei Liu

Tremendous progress in visual scene generation now turns a single image into an explorable 3D world, yet immersion remains incomplete without sound. We introduce Image2AVScene, the task of generating a 3D audio-visual scene from a single…

Computer Vision and Pattern Recognition · Computer Science 2026-03-31 Derong Jin , Xiyi Chen , Ming C. Lin , Ruohan Gao

Spatial audio is an essential medium to audiences for 3D visual and auditory experience. However, the recording devices and techniques are expensive or inaccessible to the general public. In this work, we propose a self-supervised audio…

Sound · Computer Science 2019-05-15 Yu-Ding Lu , Hsin-Ying Lee , Hung-Yu Tseng , Ming-Hsuan Yang

Stereophonic audio, especially binaural audio, plays an essential role in immersive viewing environments. Recent research has explored generating visually guided stereophonic audios supervised by multi-channel audio collections. However,…

Sound · Computer Science 2021-04-14 Xudong Xu , Hang Zhou , Ziwei Liu , Bo Dai , Xiaogang Wang , Dahua Lin

Generating high-quality stereo videos requires consistent depth perception and temporal coherence across frames. Despite advances in image and video synthesis using diffusion models, producing high-quality stereo videos remains a…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Jian Shi , Qian Wang , Zhenyu Li , Wenqing Cui , Ramzi Idoughi , Peter Wonka

Humans rely on multisensory integration to perceive spatial environments, where auditory cues enable sound source localization in three-dimensional space. Despite the critical role of spatial audio in immersive technologies such as VR/AR,…

The objective of the sound source localization task is to enable machines to detect the location of sound-making objects within a visual scene. While the audio modality provides spatial cues to locate the sound source, existing approaches…

Multimedia · Computer Science 2023-08-21 Sung Jin Um , Dongjin Kim , Jung Uk Kim

We present ZeroBAS, a neural method to synthesize binaural audio from monaural audio recordings and positional information without training on any binaural data. To our knowledge, this is the first published zero-shot neural approach to…

Training audio-to-image generative models requires an abundance of diverse audio-visual pairs that are semantically aligned. Such data is almost always curated from in-the-wild videos, given the cross-modal semantic correspondence that is…

Sound · Computer Science 2025-01-10 Darius Petermann , Mahdi M. Kalayeh

We introduce SoundSpaces 2.0, a platform for on-the-fly geometry-based audio rendering for 3D environments. Given a 3D mesh of a real-world environment, SoundSpaces can generate highly realistic acoustics for arbitrary sounds captured from…

How does audio describe the world around us? In this paper, we propose a method for generating an image of a scene from sound. Our method addresses the challenges of dealing with the large gaps that often exist between sight and sound. We…

Computer Vision and Pattern Recognition · Computer Science 2023-03-31 Kim Sung-Bin , Arda Senocak , Hyunwoo Ha , Andrew Owens , Tae-Hyun Oh

Binaural audio provides a listener with 3D sound sensation, allowing a rich perceptual experience of the scene. However, binaural recordings are scarcely available and require nontrivial expertise and equipment to obtain. We propose to…

Computer Vision and Pattern Recognition · Computer Science 2019-04-10 Ruohan Gao , Kristen Grauman

Video-to-music generation demands both a temporally localized high-quality listening experience and globally aligned video-acoustic signatures. While recent music generation models excel at the former through advanced audio codecs, the…

The zero-shot scenario for speech generation aims at synthesizing a novel unseen voice with only one utterance of the target speaker. Although the challenges of adapting new voices in zero-shot scenario exist in both stages -- acoustic…

Sound · Computer Science 2022-07-06 Yi Lei , Shan Yang , Jian Cong , Lei Xie , Dan Su