{"total":206,"rows":[{"id":"2010.02502","title":"Denoising Diffusion Implicit Models","created":"2020-10-06","cited_by_count":9781,"area":"diffusion"},{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255,"area":"diffusion"},{"id":"2009.09761","title":"DiffWave: A Versatile Diffusion Model for Audio Synthesis","created":"2020-09-21","cited_by_count":1354,"area":"diffusion"},{"id":"2106.15282","title":"Cascaded Diffusion Models for High Fidelity Image Generation","created":"2021-05-30","cited_by_count":1163,"area":"diffusion"},{"id":"2107.00630","title":"Variational Diffusion Models","created":"2021-07-01","cited_by_count":1153,"area":"diffusion"},{"id":"2209.00796","title":"Diffusion Models: A Comprehensive Survey of Methods and Applications","created":"2022-09-02","cited_by_count":1114,"area":"diffusion"},{"id":"2301.12503","title":"AudioLDM: Text-to-Audio Generation with Latent Diffusion Models","created":"2023-01-29","cited_by_count":599,"area":"diffusion"},{"id":"2112.07804","title":"Tackling the Generative Learning Trilemma with Denoising Diffusion GANs","created":"2021-12-15","cited_by_count":516,"area":"diffusion"},{"id":"2105.06337","title":"Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech","created":"2021-05-13","cited_by_count":447,"area":"diffusion"},{"id":"2311.06214","title":"Instant3D: Fast Text-to-3D with Sparse-View Generation and Large Reconstruction Model","created":"2023-11-10","cited_by_count":378,"area":"diffusion"},{"id":"2308.05734","title":"AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining","created":"2023-08-10","cited_by_count":344,"area":"diffusion"},{"id":"2101.12072","title":"Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting","created":"2021-01-28","cited_by_count":337,"area":"diffusion"},{"id":"2303.16203","title":"Your Diffusion Model is Secretly a Zero-Shot Classifier","created":"2023-03-28","cited_by_count":306,"area":"diffusion"},{"id":"2211.07804","title":"Diffusion Models for Medical Image Analysis: A Comprehensive Survey","created":"2022-11-14","cited_by_count":273,"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":"2305.18455","title":"Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models","created":"2023-05-29","cited_by_count":236,"area":"diffusion"},{"id":"2304.09116","title":"NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers","created":"2023-04-18","cited_by_count":235,"area":"diffusion"},{"id":"2403.03100","title":"NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models","created":"2024-03-05","cited_by_count":226,"area":"diffusion"},{"id":"2303.16491","title":"Implicit Diffusion Models for Continuous Super-Resolution","created":"2023-03-29","cited_by_count":218,"area":"diffusion"},{"id":"2110.02037","title":"Autoregressive Diffusion Models","created":"2021-10-05","cited_by_count":210,"area":"diffusion"},{"id":"2211.08332","title":"Versatile Diffusion: Text, Images and Variations All in One Diffusion Model","created":"2022-11-15","cited_by_count":199,"area":"diffusion"},{"id":"2211.09707","title":"Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models","created":"2022-11-17","cited_by_count":190,"area":"diffusion"},{"id":"2104.01409","title":"Diff-TTS: A Denoising Diffusion Model for Text-to-Speech","created":"2021-04-03","cited_by_count":157,"area":"diffusion"},{"id":"2103.16091","title":"Symbolic Music Generation with Diffusion Models","created":"2021-03-30","cited_by_count":154,"area":"diffusion"},{"id":"2207.06389","title":"ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech","created":"2022-07-13","cited_by_count":149,"area":"diffusion"},{"id":"2204.09934","title":"FastDiff: A Fast Conditional Diffusion Model for High-Quality Speech Synthesis","created":"2022-04-21","cited_by_count":136,"area":"diffusion"},{"id":"2306.17203","title":"Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models","created":"2023-06-29","cited_by_count":134,"area":"diffusion"},{"id":"2202.05256","title":"Conditional Diffusion Probabilistic Model for Speech Enhancement","created":"2022-02-10","cited_by_count":132,"area":"diffusion"},{"id":"2104.02600","title":"Noise Estimation for Generative Diffusion Models","created":"2021-04-06","cited_by_count":94,"area":"diffusion"},{"id":"2404.10301","title":"Long-form music generation with latent diffusion","created":"2024-04-16","cited_by_count":89,"area":"diffusion"},{"id":"2111.11755","title":"Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance","created":"2021-11-23","cited_by_count":84,"area":"diffusion"},{"id":"2304.00830","title":"AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models","created":"2023-04-03","cited_by_count":83,"area":"diffusion"},{"id":"2301.13629","title":"DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models","created":"2023-01-31","cited_by_count":81,"area":"diffusion"},{"id":"2106.06406","title":"PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior","created":"2021-06-11","cited_by_count":80,"area":"diffusion"},{"id":"2110.07579","title":"Diffusion Normalizing Flow","created":"2021-10-14","cited_by_count":77,"area":"diffusion"},{"id":"2402.00045","title":"Detecting Multimedia Generated by Large AI Models: A Survey","created":"2024-01-22","cited_by_count":76,"area":"diffusion"},{"id":"2211.13287","title":"HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising","created":"2022-11-23","cited_by_count":73,"area":"diffusion"},{"id":"2305.00624","title":"Diffusion Models for Time Series Applications: A Survey","created":"2023-05-01","cited_by_count":72,"area":"diffusion"},{"id":"2405.14664","title":"Fisher Flow Matching for Generative Modeling over Discrete Data","created":"2024-05-23","cited_by_count":72,"area":"diffusion"},{"id":"2410.16794","title":"One-Step Diffusion Distillation through Score Implicit Matching","created":"2024-10-22","cited_by_count":71,"area":"diffusion"},{"id":"2503.04482","title":"Generalized Interpolating Discrete Diffusion","created":"2025-03-06","cited_by_count":70,"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":"2203.13508","title":"BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality Speech Synthesis","created":"2022-03-25","cited_by_count":64,"area":"diffusion"},{"id":"2302.02257","title":"Multi-Source Diffusion Models for Simultaneous Music Generation and Separation","created":"2023-02-04","cited_by_count":63,"area":"diffusion"},{"id":"2107.11876","title":"A Study on Speech Enhancement Based on Diffusion Probabilistic Model","created":"2021-07-25","cited_by_count":53,"area":"diffusion"},{"id":"2303.09867","title":"DiffusionRet: Generative Text-Video Retrieval with Diffusion Model","created":"2023-03-17","cited_by_count":52,"area":"diffusion"},{"id":"2104.02321","title":"NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling","created":"2021-04-06","cited_by_count":50,"area":"diffusion"},{"id":"2106.07582","title":"Non Gaussian Denoising Diffusion Models","created":"2021-06-14","cited_by_count":45,"area":"diffusion"},{"id":"2305.06908","title":"CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model","created":"2023-05-11","cited_by_count":45,"area":"diffusion"},{"id":"2205.14807","title":"BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis","created":"2022-05-30","cited_by_count":44,"area":"diffusion"},{"id":"2201.11972","title":"DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs","created":"2022-01-28","cited_by_count":43,"area":"diffusion"},{"id":"2410.03024","title":"Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting","created":"2024-10-03","cited_by_count":43,"area":"diffusion"},{"id":"2410.19538","title":"Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series","created":"2024-10-25","cited_by_count":43,"area":"diffusion"},{"id":"2206.05408","title":"Multi-instrument Music Synthesis with Spectrogram Diffusion","created":"2022-06-11","cited_by_count":42,"area":"diffusion"},{"id":"2308.04729","title":"JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models","created":"2023-08-09","cited_by_count":41,"area":"diffusion"},{"id":"2105.13871","title":"DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion","created":"2021-05-28","cited_by_count":39,"area":"diffusion"},{"id":"2106.07431","title":"CRASH: Raw Audio Score-based Generative Modeling for Controllable High-resolution Drum Sound Synthesis","created":"2021-06-14","cited_by_count":37,"area":"diffusion"},{"id":"2203.16749","title":"SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping","created":"2022-03-31","cited_by_count":37,"area":"diffusion"},{"id":"2408.14340","title":"Foundation Models for Music: A Survey","created":"2024-08-26","cited_by_count":37,"area":"diffusion"},{"id":"2108.11514","title":"Bilateral Denoising Diffusion Models","created":"2021-08-26","cited_by_count":36,"area":"diffusion"},{"id":"2311.10242","title":"Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers","created":"2023-11-17","cited_by_count":36,"area":"diffusion"},{"id":"2205.15370","title":"Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data","created":"2022-05-30","cited_by_count":35,"area":"diffusion"},{"id":"2406.08384","title":"Diff-A-Riff: Musical Accompaniment Co-creation via Latent Diffusion Models","created":"2024-06-12","cited_by_count":33,"area":"diffusion"},{"id":"2307.08529","title":"Synthetic Lagrangian Turbulence by Generative Diffusion Models","created":"2023-07-17","cited_by_count":32,"area":"diffusion"},{"id":"2211.02527","title":"Cold Diffusion for Speech Enhancement","created":"2022-11-04","cited_by_count":31,"area":"diffusion"},{"id":"2410.18881","title":"Diff-Instruct++: Training One-step Text-to-image Generator Model to Align with Human Preferences","created":"2024-10-24","cited_by_count":31,"area":"diffusion"},{"id":"2311.04693","title":"Diff-HierVC: Diffusion-based Hierarchical Voice Conversion with Robust Pitch Generation and Masked Prior for Zero-shot Speaker Adaptation","created":"2023-11-08","cited_by_count":30,"area":"diffusion"},{"id":"2412.01243","title":"Schedule On the Fly: Diffusion Time Prediction for Faster and Better Image Generation","created":"2024-12-02","cited_by_count":30,"area":"diffusion"},{"id":"2202.03751","title":"InferGrad: Improving Diffusion Models for Vocoder by Considering Inference in Training","created":"2022-02-08","cited_by_count":28,"area":"diffusion"},{"id":"2110.05948","title":"Denoising Diffusion Gamma Models","created":"2021-10-10","cited_by_count":27,"area":"diffusion"},{"id":"2211.13926","title":"Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction","created":"2022-11-25","cited_by_count":27,"area":"diffusion"},{"id":"2302.13700","title":"Imaginary Voice: Face-styled Diffusion Model for Text-to-Speech","created":"2023-02-27","cited_by_count":27,"area":"diffusion"},{"id":"2410.19310","title":"Flow Generator Matching","created":"2024-10-25","cited_by_count":26,"area":"diffusion"},{"id":"2203.04304","title":"Dynamic Dual-Output Diffusion Models","created":"2022-03-08","cited_by_count":25,"area":"diffusion"},{"id":"2401.03006","title":"The Rise of Diffusion Models in Time-Series Forecasting","created":"2024-01-05","cited_by_count":25,"area":"diffusion"},{"id":"2305.12708","title":"ViT-TTS: Visual Text-to-Speech with Scalable Diffusion Transformer","created":"2023-05-22","cited_by_count":24,"area":"diffusion"},{"id":"2404.14700","title":"FlashSpeech: Efficient Zero-Shot Speech Synthesis","created":"2024-04-23","cited_by_count":24,"area":"diffusion"},{"id":"2107.07675","title":"Beyond In-Place Corruption: Insertion and Deletion In Denoising Probabilistic Models","created":"2021-07-16","cited_by_count":23,"area":"diffusion"},{"id":"2305.13612","title":"FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models","created":"2023-05-23","cited_by_count":23,"area":"diffusion"},{"id":"2412.05827","title":"Self-Guidance: Boosting Flow and Diffusion Generation on Their Own","created":"2024-12-08","cited_by_count":23,"area":"diffusion"},{"id":"2212.14518","title":"ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech","created":"2022-12-30","cited_by_count":21,"area":"diffusion"},{"id":"2210.01029","title":"WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration","created":"2022-10-03","cited_by_count":20,"area":"diffusion"},{"id":"2301.13267","title":"ArchiSound: Audio Generation with Diffusion","created":"2023-01-30","cited_by_count":20,"area":"diffusion"},{"id":"2307.08283","title":"Complexity Matters: Rethinking the Latent Space for Generative Modeling","created":"2023-07-17","cited_by_count":19,"area":"diffusion"},{"id":"2309.09262","title":"PromptVC: Flexible Stylistic Voice Conversion in Latent Space Driven by Natural Language Prompts","created":"2023-09-17","cited_by_count":18,"area":"diffusion"},{"id":"2405.13762","title":"A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation","created":"2024-05-22","cited_by_count":18,"area":"diffusion"},{"id":"2309.10547","title":"Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion","created":"2023-09-19","cited_by_count":17,"area":"diffusion"},{"id":"2210.12100","title":"Boomerang: Local sampling on image manifolds using diffusion models","created":"2022-10-21","cited_by_count":16,"area":"diffusion"},{"id":"2307.16549","title":"DiffProsody: Diffusion-based Latent Prosody Generation for Expressive Speech Synthesis with Prosody Conditional Adversarial Training","created":"2023-07-31","cited_by_count":16,"area":"diffusion"},{"id":"2311.16565","title":"DiffusionTalker: Personalization and Acceleration for Speech-Driven 3D Face Diffuser","created":"2023-11-28","cited_by_count":16,"area":"diffusion"},{"id":"2402.01412","title":"Bass Accompaniment Generation via Latent Diffusion","created":"2024-02-02","cited_by_count":16,"area":"diffusion"},{"id":"2301.10752","title":"Separate And Diffuse: Using a Pretrained Diffusion Model for Improving Source Separation","created":"2023-01-25","cited_by_count":15,"area":"diffusion"},{"id":"2302.04456","title":"ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models","created":"2023-02-09","cited_by_count":15,"area":"diffusion"},{"id":"2311.08667","title":"EDMSound: Spectrogram Based Diffusion Models for Efficient and High-Quality Audio Synthesis","created":"2023-11-15","cited_by_count":15,"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":"2304.03785","title":"ChiroDiff: Modelling chirographic data with Diffusion Models","created":"2023-04-07","cited_by_count":14,"area":"diffusion"},{"id":"2306.08256","title":"Data Augmentation for Seizure Prediction with Generative Diffusion Model","created":"2023-06-14","cited_by_count":14,"area":"diffusion"},{"id":"2406.07516","title":"Instant 3D Human Avatar Generation using Image Diffusion Models","created":"2024-06-11","cited_by_count":14,"area":"diffusion"},{"id":"2404.00569","title":"CM-TTS: Enhancing Real Time Text-to-Speech Synthesis Efficiency through Weighted Samplers and Consistency Models","created":"2024-03-31","cited_by_count":13,"area":"diffusion"},{"id":"2409.12346","title":"Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion Models","created":"2024-09-18","cited_by_count":13,"area":"diffusion"}],"next_cursor":"100"}