mlsanityData to 14 Oct 2026

Hear-Your-Click: Interactive Object-Specific Video-to-Audio Generation

arXiv 2507.04959 ↗First posted 7 Jul 2025cs.CV cs.AI cs.MMcited by 2

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Abstract (arXiv)

Video-to-audio (V2A) generation shows great potential in fields such as film production. Despite significant advances, current V2A methods relying on global video information struggle with complex scenes and generating audio tailored to specific objects. To address these limitations, we introduce Hear-Your-Click, an interactive V2A framework enabling users to generate sounds for specific objects by clicking on the frame. To achieve this, we propose Object-aware Contrastive Audio-Visual Fine-tuning (OCAV) with a Mask-guided Visual Encoder (MVE) to obtain object-level visual features aligned with audio. Furthermore, we tailor two data augmentation strategies, Random Video Stitching (RVS) and Mask-guided Loudness Modulation (MLM), to enhance the model's sensitivity to segmented objects. To measure audio-visual correspondence, we designed a new evaluation metric, the CAV score. Extensive experiments demonstrate that our framework offers more precise control and improves generation performance across various metrics. Project Page: https://github.com/SynapGrid/Hear-Your-Click

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 25 of its 43 references that are in the map. First posted on arXiv 7 Jul 2025.

Builds on

25 of 43 references.

References · 25

  1. 2017Attention Is All You Needcited by 60,361
  2. 2023Segment Anythingcited by 8,234
  3. 2021Masked Autoencoders Are Scalable Vision Learnerscited by 7,403
  4. 2022Generative Adversarial Networkscited by 5,627
  5. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
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  9. 2019PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognitioncited by 574
  10. 2023AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretrainingcited by 344
  11. 2021AudioCLIP: Extending CLIP to Image, Text and Audiocited by 339
  12. 2023Track Anything: Segment Anything Meets Videoscited by 234
13 more
  1. 2024BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusioncited by 202
  2. 2023Tracking Anything with Decoupled Video Segmentationcited by 197
  3. 2024Fast Timing-Conditioned Latent Audio Diffusioncited by 181
  4. 2024InstanceDiffusion: Instance-level Control for Image Generationcited by 175
  5. 2023Noise2Music: Text-conditioned Music Generation with Diffusion Modelscited by 173
  6. 2021Taming Visually Guided Sound Generationcited by 136
  7. 2024FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Soundscited by 110
  8. 2022I Hear Your True Colors: Image Guided Audio Generationcited by 92
  9. 2021Robust Audio-Visual Instance Discriminationcited by 80
  10. 2022MixGen: A New Multi-Modal Data Augmentationcited by 61
  11. 2024Follow-Your-Click: Open-domain Regional Image Animation via Short Promptscited by 52
  12. 2022Learning Multimodal Data Augmentation in Feature Spacecited by 18
  13. 2024Semantically consistent Video-to-Audio Generation using Multimodal Language Large Modelcited by 11

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.