{"total":21,"rows":[{"id":"2301.12503","title":"AudioLDM: Text-to-Audio Generation with Latent Diffusion Models","created":"2023-01-29","cited_by_count":599,"area":"diffusion"},{"id":"2301.12661","title":"Make-An-Audio: Text-To-Audio Generation with Prompt-Enhanced Diffusion Models","created":"2023-01-30","cited_by_count":324,"area":"diffusion"},{"id":"2207.09983","title":"Diffsound: Discrete Diffusion Model for Text-to-sound Generation","created":"2022-07-20","cited_by_count":257,"area":"diffusion"},{"id":"2305.18474","title":"Make-An-Audio 2: Temporal-Enhanced Text-to-Audio Generation","created":"2023-05-29","cited_by_count":90,"area":"diffusion"},{"id":"2503.23377","title":"JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization","created":"2025-03-30","cited_by_count":88,"area":"diffusion"},{"id":"2401.01044","title":"Auffusion: Leveraging the Power of Diffusion and Large Language Models for Text-to-Audio Generation","created":"2024-01-02","cited_by_count":54,"area":"diffusion"},{"id":"2506.19774","title":"Kling-Foley: Multimodal Diffusion Transformer for High-Quality Video-to-Audio Generation","created":"2025-06-24","cited_by_count":40,"area":"diffusion"},{"id":"2401.15422","title":"A Survey on Data Augmentation in Large Model Era","created":"2024-01-27","cited_by_count":31,"area":"diffusion"},{"id":"2410.10676","title":"Both Ears Wide Open: Towards Language-Driven Spatial Audio Generation","created":"2024-10-14","cited_by_count":25,"area":"diffusion"},{"id":"2406.00356","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","created":"2024-06-01","cited_by_count":21,"area":"diffusion"},{"id":"2508.00733","title":"AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation","created":"2025-08-01","cited_by_count":12,"area":"diffusion"},{"id":"2410.14945","title":"ImmerseDiffusion: A Generative Spatial Audio Latent Diffusion Model","created":"2024-10-19","cited_by_count":11,"area":"diffusion"},{"id":"2506.00736","title":"IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling","created":"2025-05-31","cited_by_count":6,"area":"diffusion"},{"id":"2505.07615","title":"Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models","created":"2025-05-12","cited_by_count":2,"area":"diffusion"},{"id":"2307.15898","title":"UniBriVL: Robust Universal Representation and Generation of Audio Driven Diffusion Models","created":"2023-07-29","cited_by_count":1,"area":"diffusion"},{"id":"2403.12182","title":"Latent CLAP Loss for Better Foley Sound Synthesis","created":"2024-03-18","cited_by_count":1,"area":"diffusion"},{"id":"2606.12555","title":"AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation","created":"2026-06-10","cited_by_count":1,"area":"diffusion"},{"id":"2606.31259","title":"SwiftAudio: Data-Efficient Caption-Only Distillation for One-Step Text-to-Audio Diffusion-based Generation","created":"2026-06-30","cited_by_count":1,"area":"diffusion"},{"id":"2507.07318","title":"Generating Moving 3D Soundscapes with Latent Diffusion Models","created":"2025-07-09","cited_by_count":0,"area":"diffusion"},{"id":"2603.07865","title":"SoundWeaver: Semantic Warm-Starting for Text-to-Audio Diffusion Serving","created":"2026-03-09","cited_by_count":0,"area":"diffusion"},{"id":"2608.29549","title":"PhysWave: Physics-Guided Latent Diffusion Models for Controllable Spatial Audio Generation","created":"2026-08-30","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}