FoleyDesigner: Immersive Stereo Foley Generation with Precise Spatio-Temporal Alignment for Film Clips
Not on the map. Why?
Abstract (arXiv)
Foley art plays a pivotal role in enhancing immersive auditory experiences in film, yet manual creation of spatio-temporally aligned audio remains labor-intensive. We propose FoleyDesigner, a novel framework inspired by professional Foley workflows, integrating film clip analysis, spatio-temporally controllable Foley generation, and professional audio mixing capabilities. FoleyDesigner employs a multi-agent architecture for precise spatio-temporal analysis. It achieves spatio-temporal alignment through latent diffusion models trained on spatio-temporal cues extracted from video frames, combined with large language model (LLM)-driven hybrid mechanisms that emulate post-production practices in film industry. To address the lack of high-quality stereo audio datasets in film, we introduce FilmStereo, the first professional stereo audio dataset containing spatial metadata, precise timestamps, and semantic annotations for eight common Foley categories. For applications, the framework supports interactive user control while maintaining seamless integration with professional pipelines, including 5.1-channel Dolby Atmos systems compliant with ITU-R BS.775 standards, thereby offering extensive creative flexibility. Extensive experiments demonstrate that our method achieves superior spatio-temporal alignment compared to existing baselines, with seamless compatibility with professional film production standards. The project page is available at https://gekiii996.github.io/FoleyDesigner/ .
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 34 of its 41 references that are in the map. First posted on arXiv 7 Apr 2026.
Builds on
34 of 41 references.
References · 34
- 2023Tree of Thoughts: Deliberate Problem Solving with Large Language Modelscited by 3,211
- 2016Improved Techniques for Training GANscited by 2,970
- 2020Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domainscited by 2,200
- 2024Depth Anything V2cited by 1,422
- 2023ImageBind: One Embedding Space To Bind Them Allcited by 1,175
- 2022Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentationcited by 719
- 2023Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Modelscited by 608
- 2023Simple and Controllable Music Generationcited by 488
- 2023AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretrainingcited by 344
- 2022AudioGen: Textually Guided Audio Generationcited by 295
- 2018Fr'echet Audio Distance: A Metric for Evaluating Music Enhancement Algorithmscited by 225
- 2024Stable Audio Opencited by 197
22 more
- 2023Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Modelscited by 134
- 2024MMAudio: Taming Multimodal Joint Training for High-Quality Video-to-Audio Synthesiscited by 134
- 2024FoleyCrafter: Bring Silent Videos to Life with Lifelike and Synchronized Soundscited by 110
- 2024Synchformer: Efficient Synchronization from Sparse Cuescited by 97
- 2024Tango 2: Aligning Diffusion-based Text-to-Audio Generations through Direct Preference Optimizationcited by 97
- 2022I Hear Your True Colors: Image Guided Audio Generationcited by 92
- 2023Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generationcited by 90
- 2023V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Modelscited by 65
- 2020Sep-Stereo: Visually Guided Stereophonic Audio Generation by Associating Source Separationcited by 55
- 2024Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matchingcited by 53
- 2023Conditional Generation of Audio from Video via Foley Analogiescited by 52
- 2024Video-Guided Foley Sound Generation with Multimodal Controlscited by 49
- 2018gpuRIR: A Python Library for Room Impulse Response Simulation with GPU Accelerationcited by 46
- 2020An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detectioncited by 25
- 2024Both Ears Wide Open: Towards Language-Driven Spatial Audio Generationcited by 25
- 2021Geometry-Aware Multi-Task Learning for Binaural Audio Generation from Videocited by 22
- 2023CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Modelscited by 20
- 2021Beyond Mono to Binaural: Generating Binaural Audio from Mono Audio with Depth and Cross Modal Attentioncited by 17
- 2025OmniAudio: Generating Spatial Audio from 360-Degree Videocited by 17
- 2024Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Soundcited by 16
- 2024SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Soundcited by 10
- 2025Spotlighting Partially Visible Cinematic Language for Video-to-Audio Generation via Self-distillationcited by 4
Built on by
Citing papers per year: 2026: 1.
1 paper.
Similar, not cited
Close in wording, no citation either way
- 2025HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation
- 2024FolAI: Synchronized Foley Sound Generation with Semantic and Temporal Alignment
- 2025Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation
- 2025FoleySpace: Vision-Aligned Binaural Spatial Audio Generation
- 2026DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos
- 2026DynFOA: Generating First-Order Ambisonics with Conditional Diffusion for Dynamic and Acoustically Complex 360-Degree Videos
- 2024T-FOLEY: A Controllable Waveform-Domain Diffusion Model for Temporal-Event-Guided Foley Sound Synthesis
- 2026ImmersiveFlow: Stereo-to-7.1.4 spatial audio generation with flow matching