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Despite recent breakthroughs, audio foundation models struggle in processing complex multi-source acoustic scenes. We refer to this challenging domain as audio stories, which can have multiple speakers and background/foreground sound…

The field of text-to-audio generation has seen significant advancements, and yet the ability to finely control the acoustic characteristics of generated audio remains under-explored. In this paper, we introduce a novel yet simple approach…

Sound · Computer Science 2024-12-16 Sonal Kumar , Prem Seetharaman , Justin Salamon , Dinesh Manocha , Oriol Nieto

Music enhances video narratives and emotions, driving demand for automatic video-to-music (V2M) generation. However, existing V2M methods relying solely on visual features or supplementary textual inputs generate music in a black-box…

Multimedia · Computer Science 2025-07-29 Junxian Wu , Weitao You , Heda Zuo , Dengming Zhang , Pei Chen , Lingyun Sun

With the rapid development of AI-generated content (AIGC), video generation has emerged as one of its most dynamic and impactful subfields. In particular, the advancement of video generation foundation models has led to growing demand for…

Diffusion models have revolutionized the field of talking head generation, yet still face challenges in expressiveness, controllability, and stability in long-time generation. In this research, we propose an EmotiveTalk framework to address…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Haotian Wang , Yuzhe Weng , Yueyan Li , Zilu Guo , Jun Du , Shutong Niu , Jiefeng Ma , Shan He , Xiaoyan Wu , Qiming Hu , Bing Yin , Cong Liu , Qingfeng Liu

Current video-to-audio (V2A) methods struggle in complex multi-event scenarios (video scenarios involving multiple sound sources, sound events, or transitions) due to two critical limitations. First, existing methods face challenges in…

Multimedia · Computer Science 2025-11-05 Jianxuan Yang , Xiaoran Yang , Lipan Zhang , Xinyue Guo , Zhao Wang , Gongping Huang

Emotion plays a pivotal role in video-based expression, but existing video generation systems predominantly focus on low-level visual metrics while neglecting affective dimensions. Although emotion analysis has made progress in the visual…

Computer Vision and Pattern Recognition · Computer Science 2025-11-17 Zongyang Qiu , Bingyuan Wang , Xingbei Chen , Yingqing He , Zeyu Wang

Video-to-audio (V2A) generation leverages visual-only video features to render plausible sounds that match the scene. Importantly, the generated sound onsets should match the visual actions that are aligned with them, otherwise unnatural…

Sound · Computer Science 2024-07-16 Santiago Pascual , Chunghsin Yeh , Ioannis Tsiamas , Joan Serrà

Text to video generation has emerged as a critical frontier in generative artificial intelligence, yet existing approaches struggle with maintaining temporal consistency, compositional understanding, and fine grained control over visual…

Computer Vision and Pattern Recognition · Computer Science 2025-11-04 Piyushkumar Patel

Recent advances in text-to-image (T2I) diffusion models have enabled impressive image generation capabilities guided by text prompts. However, extending these techniques to video generation remains challenging, with existing text-to-video…

Computer Vision and Pattern Recognition · Computer Science 2024-08-13 Weifeng Chen , Yatai Ji , Jie Wu , Hefeng Wu , Pan Xie , Jiashi Li , Xin Xia , Xuefeng Xiao , Liang Lin

While end-to-end video-to-audio generation has greatly improved, producing high-fidelity audio that authentically captures the nuances of visual content remains challenging. Like professionals in the creative industries, this generation…

Audio and Speech Processing · Electrical Eng. & Systems 2025-11-06 Huadai Liu , Kaicheng Luo , Jialei Wang , Wen Wang , Qian Chen , Zhou Zhao , Wei Xue

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

Event cameras offer microsecond-level latency and robustness to motion blur, making them ideal for understanding dynamic environments. Yet, connecting these asynchronous streams to human language remains an open challenge. We introduce…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Lingdong Kong , Dongyue Lu , Ao Liang , Rong Li , Yuhao Dong , Tianshuai Hu , Lai Xing Ng , Wei Tsang Ooi , Benoit R. Cottereau

Modern audio generation predominantly relies on latent-space compression, introducing additional complexity and potential information loss. In this work, we challenge this paradigm with WavFlow, a framework that generates high-fidelity…

Following the advancements in text-guided image generation technology exemplified by Stable Diffusion, video generation is gaining increased attention in the academic community. However, relying solely on text guidance for video generation…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Cong Wang , Jiaxi Gu , Panwen Hu , Haoyu Zhao , Yuanfan Guo , Jianhua Han , Hang Xu , Xiaodan Liang

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

Video generation serves as a cornerstone for building world models, where multimodal contextual inference stands as the defining test of capability. In this end, we present SkyReels-V3, a conditional video generation model, built upon a…

Video-to-Audio (V2A) Generation achieves significant progress and plays a crucial role in film and video post-production. However, current methods overlook the cinematic language, a critical component of artistic expression in filmmaking.…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Feizhen Huang , Yu Wu , Yutian Lin , Bo Du

Foley is a key element in video production, refers to the process of adding an audio signal to a silent video while ensuring semantic and temporal alignment. In recent years, the rise of personalized content creation and advancements in…

Sound · Computer Science 2025-04-18 Roi Benita , Michael Finkelson , Tavi Halperin , Gleb Sterkin , Yossi Adi

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