arXiv AI
PhysicsSliders: Learning Physical Controls for Audio Foley Generation
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arXiv Machine Learning
Oct 7
ImpactMat: Continuous Material Estimation for Inverse Impact Sound Rendering
arXiv:2610.07061v1 Announce Type: cross Abstract: Impact sound rendering synthesizes the sound produced when a 3D object is struck, but practical renderers often rely on fixed material presets such a...
arXiv AI
Sep 17
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
The paper introduces a pipeline that combines generated video and audio to produce force-aware manipulation trajectories for a Franka Panda robot. By using the loudness of contact sounds to shape a bounded, time-varying desired-force profile, the system can execute tasks that require precise contact forces, outperforming kinematic-only baselines. The approach also serves as a data generation engine for training closed-loop policies.
arXiv Machine Learning
Jun 4
Analysis-Driven Procedural Generation of an Engine Sound Dataset with Embedded Control Annotations
arXiv:2603. 07584v2 Announce Type: replace-cross Abstract: Computational engine sound modeling is central to the automotive audio industry, particularly for active sound design applications and virtual prototyping.
Hugging Face Trending Papers
Sep 16
Dreaming the Sound of Contact: Leveraging Video and Audio Generation for Zero-Shot Force-Aware Manipulation and Data Generation
Recent advances in video generation allow robots to learn manipulation trajectories from generated videos. However, these approaches produce purely kinematic trajectories that lack force information,...
arXiv Machine Learning
Jul 1
Step-by-Step Video-to-Audio Synthesis via Negative Audio Guidance
arXiv:2506. 20995v4 Announce Type: replace-cross Abstract: We propose a step-by-step video-to-audio (V2A) generation method that provides finer control over the generation process and more realistic audio synthesis.
arXiv AI
Oct 15
PhyAVBench: A Challenging Audio Physics-Sensitivity Benchmark for Physically Grounded Text-to-Audio-Video Generation
arXiv:2512.23994v5 Announce Type: replace-cross Abstract: Text-to-audio-video (T2AV) generation is central to applications such as filmmaking and world modeling. However, current models often fail to...