{"total":44,"rows":[{"id":"2410.00083","title":"A Survey on Diffusion Models for Inverse Problems","created":"2024-09-30","cited_by_count":180,"area":"diffusion"},{"id":"2409.15761","title":"TFG: Unified Training-Free Guidance for Diffusion Models","created":"2024-09-24","cited_by_count":107,"area":"diffusion"},{"id":"2303.13336","title":"A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI","created":"2023-03-23","cited_by_count":68,"area":"diffusion"},{"id":"2402.09821","title":"Diffusion Models for Audio Restoration","created":"2024-02-15","cited_by_count":32,"area":"diffusion"},{"id":"2311.00613","title":"Controllable Music Production with Diffusion Models and Guidance Gradients","created":"2023-11-01","cited_by_count":29,"area":"diffusion"},{"id":"2309.07195","title":"Diffusion models for audio semantic communication","created":"2023-09-13","cited_by_count":17,"area":"diffusion"},{"id":"2503.01485","title":"FlowDec: A flow-based full-band general audio codec with high perceptual quality","created":"2025-03-03","cited_by_count":15,"area":"diffusion"},{"id":"2304.11750","title":"DiffVoice: Text-to-Speech with Latent Diffusion","created":"2023-04-23","cited_by_count":13,"area":"diffusion"},{"id":"2403.18636","title":"A Diffusion-Based Generative Equalizer for Music Restoration","created":"2024-03-27","cited_by_count":12,"area":"diffusion"},{"id":"2408.07472","title":"Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models","created":"2024-08-14","cited_by_count":11,"area":"diffusion"},{"id":"2312.04370","title":"Investigating the Design Space of Diffusion Models for Speech Enhancement","created":"2023-12-07","cited_by_count":10,"area":"diffusion"},{"id":"2306.12286","title":"Diffusion Posterior Sampling for Informed Single-Channel Dereverberation","created":"2023-06-21","cited_by_count":9,"area":"diffusion"},{"id":"2405.04272","title":"BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models","created":"2024-05-07","cited_by_count":9,"area":"diffusion"},{"id":"2405.18503","title":"SoundCTM: Unifying Score-based and Consistency Models for Full-band Text-to-Sound Generation","created":"2024-05-28","cited_by_count":9,"area":"diffusion"},{"id":"2409.06096","title":"Latent Diffusion Bridges for Unsupervised Musical Audio Timbre Transfer","created":"2024-09-09","cited_by_count":9,"area":"diffusion"},{"id":"2312.08821","title":"Reconstruction of Sound Field through Diffusion Models","created":"2023-12-14","cited_by_count":8,"area":"diffusion"},{"id":"2306.00721","title":"UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model","created":"2023-06-01","cited_by_count":7,"area":"diffusion"},{"id":"2502.05908","title":"Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo","created":"2025-02-09","cited_by_count":7,"area":"diffusion"},{"id":"2505.05657","title":"ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior","created":"2025-05-08","cited_by_count":7,"area":"diffusion"},{"id":"2311.07345","title":"Zero-Shot Duet Singing Voices Separation with Diffusion Models","created":"2023-11-13","cited_by_count":6,"area":"diffusion"},{"id":"2405.16952","title":"A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and Recognition","created":"2024-05-27","cited_by_count":5,"area":"diffusion"},{"id":"2504.04751","title":"Unsupervised Estimation of Nonlinear Audio Effects: Comparing Diffusion-Based and Adversarial approaches","created":"2025-04-07","cited_by_count":4,"area":"diffusion"},{"id":"2405.09866","title":"Training-Free Multi-User Generative Semantic Communications via Null-Space Diffusion Sampling","created":"2024-05-16","cited_by_count":3,"area":"diffusion"},{"id":"2410.01562","title":"HRTF Estimation using a Score-based Prior","created":"2024-10-02","cited_by_count":3,"area":"diffusion"},{"id":"2505.22973","title":"EquiReg: Equivariance Regularized Diffusion for Inverse Problems","created":"2025-05-29","cited_by_count":3,"area":"diffusion"},{"id":"2507.08333","title":"Token-Based Audio Inpainting via Discrete Diffusion","created":"2025-07-11","cited_by_count":3,"area":"diffusion"},{"id":"2511.20470","title":"Efficient and Fast Generative-Based Singing Voice Separation using a Latent Diffusion Model","created":"2025-11-25","cited_by_count":2,"area":"diffusion"},{"id":"2602.00652","title":"Solving Room Impulse Response Inverse Problems Using Flow Matching with Analytic Wiener Denoiser","created":"2026-01-31","cited_by_count":2,"area":"diffusion"},{"id":"2410.17834","title":"Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech","created":"2024-10-23","cited_by_count":1,"area":"diffusion"},{"id":"2501.02871","title":"Towards HRTF Personalization using Denoising Diffusion Models","created":"2025-01-06","cited_by_count":1,"area":"diffusion"},{"id":"2511.21342","title":"Generating Separated Singing Vocals Using a Diffusion Model Conditioned on Music Mixtures","created":"2025-11-26","cited_by_count":1,"area":"diffusion"},{"id":"2605.09477","title":"Outlier-Robust Diffusion Solvers for Inverse Problems","created":"2026-05-10","cited_by_count":1,"area":"diffusion"},{"id":"2608.14097","title":"Ambisonics Encoding of Room Impulse Responses using a Device-Agnostic Diffusion Model","created":"2026-08-14","cited_by_count":1,"area":"diffusion"},{"id":"2508.02071","title":"Unsupervised Multi-channel Speech Dereverberation via Diffusion","created":"2025-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2509.16342","title":"Similarity-Guided Diffusion for Long-Gap Music Inpainting","created":"2025-09-19","cited_by_count":0,"area":"diffusion"},{"id":"2510.02208","title":"MACS: Measurement-Aware Consistency Sampling for Inverse Problems","created":"2025-10-02","cited_by_count":0,"area":"diffusion"},{"id":"2511.21863","title":"Saddle-Free Guidance: Improved On-Manifold Sampling without Labels or Additional Training","created":"2025-11-26","cited_by_count":0,"area":"diffusion"},{"id":"2601.14356","title":"Single-step Controllable Music Bandwidth Extension With Flow Matching","created":"2026-01-20","cited_by_count":0,"area":"diffusion"},{"id":"2602.04189","title":"Beyond Accuracy: Evaluating Posterior Fidelity of Diffusion Inverse Solvers","created":"2026-02-04","cited_by_count":0,"area":"diffusion"},{"id":"2605.10398","title":"SF-Flow: Sound field magnitude estimation via flow matching guided by sparse measurements","created":"2026-05-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.02331","title":"Hallucination-Aware Diffusion Sampling for Inverse Problems via Robust Prior Updates","created":"2026-06-01","cited_by_count":0,"area":"diffusion"},{"id":"2607.29148","title":"Exploring Efficient Waveform Diffusion Models for Foley Sound Generation","created":"2026-07-31","cited_by_count":0,"area":"diffusion"},{"id":"2608.01972","title":"Music Restoration via Latent Operator Optimization and Diffusion Model Priors","created":"2026-08-03","cited_by_count":0,"area":"diffusion"},{"id":"2608.03721","title":"On the Geometry of Music Bandwidth Extension in Latent Spaces of Audio Codecs","created":"2026-08-04","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}