{"total":154,"rows":[{"id":"2112.10752","title":"High-Resolution Image Synthesis with Latent Diffusion Models","created":"2021-12-20","cited_by_count":18863,"area":"diffusion"},{"id":"2209.03003","title":"Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow","created":"2022-09-07","cited_by_count":3700,"area":"diffusion"},{"id":"2107.03006","title":"Structured Denoising Diffusion Models in Discrete State-Spaces","created":"2021-07-07","cited_by_count":1719,"area":"wm"},{"id":"2205.14217","title":"Diffusion-LM Improves Controllable Text Generation","created":"2022-05-27","cited_by_count":1027,"area":null},{"id":"2210.03142","title":"On Distillation of Guided Diffusion Models","created":"2022-10-06","cited_by_count":725,"area":"diffusion"},{"id":"2106.05931","title":"Score-based Generative Modeling in Latent Space","created":"2021-06-10","cited_by_count":636,"area":"diffusion"},{"id":"2107.03502","title":"CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation","created":"2021-07-07","cited_by_count":582,"area":"diffusion"},{"id":"2210.06978","title":"LION: Latent Point Diffusion Models for 3D Shape Generation","created":"2022-10-12","cited_by_count":553,"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":"2205.14987","title":"A Continuous Time Framework for Discrete Denoising Models","created":"2022-05-30","cited_by_count":451,"area":"diffusion"},{"id":"2104.14951","title":"SRDiff: Single Image Super-Resolution with Diffusion Probabilistic Models","created":"2021-04-30","cited_by_count":415,"area":"diffusion"},{"id":"2205.11495","title":"Flexible Diffusion Modeling of Long Videos","created":"2022-05-23","cited_by_count":294,"area":"diffusion"},{"id":"2202.02514","title":"Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations","created":"2022-02-05","cited_by_count":283,"area":"diffusion"},{"id":"2211.15736","title":"Post-training Quantization on Diffusion Models","created":"2022-11-28","cited_by_count":267,"area":"diffusion"},{"id":"2112.07068","title":"Score-Based Generative Modeling with Critically-Damped Langevin Diffusion","created":"2021-12-14","cited_by_count":233,"area":"diffusion"},{"id":"2105.14080","title":"Gotta Go Fast When Generating Data with Score-Based Models","created":"2021-05-28","cited_by_count":219,"area":"diffusion"},{"id":"2201.12204","title":"From data to functa: Your data point is a function and you can treat it like one","created":"2022-01-28","cited_by_count":187,"area":null},{"id":"2106.00132","title":"On Fast Sampling of Diffusion Probabilistic Models","created":"2021-05-31","cited_by_count":170,"area":"diffusion"},{"id":"2206.13397","title":"Generative Modelling With Inverse Heat Dissipation","created":"2022-06-21","cited_by_count":167,"area":null},{"id":"2211.04236","title":"Self-conditioned Embedding Diffusion for Text Generation","created":"2022-11-08","cited_by_count":117,"area":"diffusion"},{"id":"2303.04248","title":"TRACT: Denoising Diffusion Models with Transitive Closure Time-Distillation","created":"2023-03-07","cited_by_count":116,"area":"diffusion"},{"id":"2112.06749","title":"Step-unrolled Denoising Autoencoders for Text Generation","created":"2021-12-13","cited_by_count":102,"area":null},{"id":"2106.06819","title":"D2C: Diffusion-Denoising Models for Few-shot Conditional Generation","created":"2021-06-12","cited_by_count":96,"area":null},{"id":"2301.11706","title":"Input Perturbation Reduces Exposure Bias in Diffusion Models","created":"2023-01-27","cited_by_count":90,"area":"diffusion"},{"id":"2404.07771","title":"An Overview of Diffusion Models: Applications, Guided Generation, Statistical Rates and Optimization","created":"2024-04-11","cited_by_count":73,"area":"diffusion"},{"id":"2204.09269","title":"A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond","created":"2022-04-20","cited_by_count":64,"area":null},{"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":"2403.11968","title":"Unveil Conditional Diffusion Models with Classifier-free Guidance: A Sharp Statistical Theory","created":"2024-03-18","cited_by_count":63,"area":"diffusion"},{"id":"2306.04542","title":"On the Design Fundamentals of Diffusion Models: A Survey","created":"2023-06-07","cited_by_count":60,"area":"diffusion"},{"id":"2105.14257","title":"Diffusion-Based Representation Learning","created":"2021-05-29","cited_by_count":57,"area":null},{"id":"2411.17459","title":"WF-VAE: Enhancing Video VAE by Wavelet-Driven Energy Flow for Latent Video Diffusion Model","created":"2024-11-26","cited_by_count":57,"area":"diffusion"},{"id":"2308.05384","title":"Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization","created":"2023-08-10","cited_by_count":56,"area":"diffusion"},{"id":"2210.04872","title":"Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models","created":"2022-10-10","cited_by_count":50,"area":"diffusion"},{"id":"2303.15780","title":"Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion","created":"2023-03-28","cited_by_count":48,"area":null},{"id":"2206.04642","title":"Probability flow solution of the Fokker-Planck equation","created":"2022-06-09","cited_by_count":47,"area":null},{"id":"2206.07771","title":"Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation","created":"2022-06-15","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":"2206.05408","title":"Multi-instrument Music Synthesis with Spectrogram Diffusion","created":"2022-06-11","cited_by_count":42,"area":"diffusion"},{"id":"2405.15986","title":"Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity","created":"2024-05-24","cited_by_count":42,"area":"diffusion"},{"id":"2406.04321","title":"VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling","created":"2024-06-06","cited_by_count":40,"area":null},{"id":"2311.00968","title":"Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model","created":"2023-11-02","cited_by_count":37,"area":null},{"id":"2408.14340","title":"Foundation Models for Music: A Survey","created":"2024-08-26","cited_by_count":37,"area":"diffusion"},{"id":"2306.08620","title":"Anticipatory Music Transformer","created":"2023-06-14","cited_by_count":36,"area":null},{"id":"2307.10304","title":"Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls","created":"2023-07-19","cited_by_count":35,"area":"diffusion"},{"id":"2302.07261","title":"Where to Diffuse, How to Diffuse, and How to Get Back: Automated Learning for Multivariate Diffusions","created":"2023-02-14","cited_by_count":29,"area":"diffusion"},{"id":"2401.06614","title":"Motion2VecSets: 4D Latent Vector Set Diffusion for Non-rigid Shape Reconstruction and Tracking","created":"2024-01-12","cited_by_count":29,"area":"diffusion"},{"id":"2405.09901","title":"Whole-Song Hierarchical Generation of Symbolic Music Using Cascaded Diffusion Models","created":"2024-05-16","cited_by_count":25,"area":"diffusion"},{"id":"2301.11529","title":"PLay: Parametrically Conditioned Layout Generation using Latent Diffusion","created":"2023-01-27","cited_by_count":24,"area":"diffusion"},{"id":"2301.08518","title":"Regular Time-series Generation using SGM","created":"2023-01-20","cited_by_count":23,"area":"diffusion"},{"id":"2302.08357","title":"Boundary Guided Learning-Free Semantic Control with Diffusion Models","created":"2023-02-16","cited_by_count":23,"area":"diffusion"},{"id":"2303.16576","title":"WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models","created":"2023-03-29","cited_by_count":23,"area":"diffusion"},{"id":"2412.06781","title":"Around the World in 80 Timesteps: A Generative Approach to Global Visual Geolocation","created":"2024-12-09","cited_by_count":23,"area":null},{"id":"2210.02884","title":"Vision+X: A Survey on Multimodal Learning in the Light of Data","created":"2022-10-05","cited_by_count":22,"area":null},{"id":"2303.16897","title":"Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos","created":"2023-03-29","cited_by_count":22,"area":"diffusion"},{"id":"2104.02726","title":"Creativity and Machine Learning: A Survey","created":"2021-04-06","cited_by_count":21,"area":null},{"id":"2306.06991","title":"Fast Diffusion Model","created":"2023-06-12","cited_by_count":21,"area":"diffusion"},{"id":"2301.11975","title":"Byte Pair Encoding for Symbolic Music","created":"2023-01-27","cited_by_count":19,"area":null},{"id":"2211.10794","title":"NVDiff: Graph Generation through the Diffusion of Node Vectors","created":"2022-11-19","cited_by_count":18,"area":"diffusion"},{"id":"2302.14679","title":"Synthesizing Mixed-type Electronic Health Records using Diffusion Models","created":"2023-02-28","cited_by_count":18,"area":"diffusion"},{"id":"2307.05527","title":"The Ethical Implications of Generative Audio Models: A Systematic Literature Review","created":"2023-07-07","cited_by_count":18,"area":null},{"id":"2409.00587","title":"FLUX that Plays Music","created":"2024-09-01","cited_by_count":18,"area":"diffusion"},{"id":"2303.17546","title":"PAIR-Diffusion: A Comprehensive Multimodal Object-Level Image Editor","created":"2023-03-30","cited_by_count":17,"area":"diffusion"},{"id":"2305.01319","title":"Long-Term Rhythmic Video Soundtracker","created":"2023-05-02","cited_by_count":17,"area":null},{"id":"2202.04895","title":"Diffusion bridges vector quantized Variational AutoEncoders","created":"2022-02-10","cited_by_count":16,"area":null},{"id":"2305.09489","title":"Discrete Diffusion Probabilistic Models for Symbolic Music Generation","created":"2023-05-16","cited_by_count":16,"area":"diffusion"},{"id":"2310.12404","title":"Loop Copilot: Conducting AI Ensembles for Music Generation and Iterative Editing","created":"2023-10-19","cited_by_count":15,"area":null},{"id":"2505.03432","title":"Wasserstein Convergence of Score-based Generative Models under Semiconvexity and Discontinuous Gradients","created":"2025-05-06","cited_by_count":15,"area":"diffusion"},{"id":"2511.03202","title":"Provable Separations between Memorization and Generalization in Diffusion Models","created":"2025-11-05","cited_by_count":14,"area":"diffusion"},{"id":"2210.05148","title":"DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability","created":"2022-10-11","cited_by_count":13,"area":"diffusion"},{"id":"2305.10841","title":"GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework","created":"2023-05-18","cited_by_count":13,"area":null},{"id":"2108.12290","title":"Music Composition with Deep Learning: A Review","created":"2021-08-27","cited_by_count":12,"area":null},{"id":"2308.11945","title":"LongDanceDiff: Long-term Dance Generation with Conditional Diffusion Model","created":"2023-08-23","cited_by_count":12,"area":"diffusion"},{"id":"2309.16421","title":"Distilling ODE Solvers of Diffusion Models into Smaller Steps","created":"2023-09-28","cited_by_count":11,"area":"diffusion"},{"id":"2404.05662","title":"BinaryDM: Accurate Weight Binarization for Efficient Diffusion Models","created":"2024-04-08","cited_by_count":11,"area":"diffusion"},{"id":"2406.14850","title":"DExter: Learning and Controlling Performance Expression with Diffusion Models","created":"2024-06-21","cited_by_count":11,"area":"diffusion"},{"id":"2412.05926","title":"BiDM: Pushing the Limit of Quantization for Diffusion Models","created":"2024-12-08","cited_by_count":11,"area":"diffusion"},{"id":"2602.16198","title":"Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform","created":"2026-02-18","cited_by_count":11,"area":"diffusion"},{"id":"2404.13320","title":"Pixel is a Barrier: Diffusion Models Are More Adversarially Robust Than We Think","created":"2024-04-20","cited_by_count":10,"area":"diffusion"},{"id":"2301.12525","title":"Composer's Assistant: An Interactive Transformer for Multi-Track MIDI Infilling","created":"2023-01-29","cited_by_count":9,"area":null},{"id":"2305.00608","title":"Differentiable Neural Networks with RePU Activation: with Applications to Score Estimation and Isotonic Regression","created":"2023-05-01","cited_by_count":9,"area":null},{"id":"2305.13195","title":"U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech","created":"2023-05-22","cited_by_count":9,"area":"diffusion"},{"id":"2310.14044","title":"Composer Style-specific Symbolic Music Generation Using Vector Quantized Discrete Diffusion Models","created":"2023-10-21","cited_by_count":9,"area":"diffusion"},{"id":"2311.08330","title":"Generative De-Quantization for Neural Speech Codec via Latent Diffusion","created":"2023-11-14","cited_by_count":9,"area":"diffusion"},{"id":"2311.12090","title":"FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation","created":"2023-11-20","cited_by_count":9,"area":"diffusion"},{"id":"2209.14697","title":"Creative Painting with Latent Diffusion Models","created":"2022-09-29","cited_by_count":8,"area":"diffusion"},{"id":"2305.14651","title":"Revisit and Outstrip Entity Alignment: A Perspective of Generative Models","created":"2023-05-24","cited_by_count":8,"area":null},{"id":"2303.08385","title":"Generating symbolic music using diffusion models","created":"2023-03-15","cited_by_count":7,"area":"diffusion"},{"id":"2307.04586","title":"Timbre transfer using image-to-image denoising diffusion implicit models","created":"2023-07-10","cited_by_count":7,"area":"diffusion"},{"id":"2309.01274","title":"Diffusion Models with Deterministic Normalizing Flow Priors","created":"2023-09-03","cited_by_count":7,"area":"diffusion"},{"id":"2403.11451","title":"CasSR: Activating Image Power for Real-World Image Super-Resolution","created":"2024-03-18","cited_by_count":7,"area":"diffusion"},{"id":"2210.11058","title":"Representation Learning with Diffusion Models","created":"2022-10-20","cited_by_count":6,"area":"diffusion"},{"id":"2505.05082","title":"ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model","created":"2025-05-08","cited_by_count":6,"area":"diffusion"},{"id":"2407.14700","title":"Composer's Assistant 2: Interactive Multi-Track MIDI Infilling with Fine-Grained User Control","created":"2024-07-19","cited_by_count":5,"area":null},{"id":"2412.09168","title":"YingSound: Video-Guided Sound Effects Generation with Multi-modal Chain-of-Thought Controls","created":"2024-12-12","cited_by_count":5,"area":null},{"id":"2212.00121","title":"Denoising Diffusion for Sampling SAT Solutions","created":"2022-11-30","cited_by_count":4,"area":"diffusion"},{"id":"2409.06190","title":"Multi-Source Music Generation with Latent Diffusion","created":"2024-09-10","cited_by_count":4,"area":"diffusion"},{"id":"2410.02296","title":"How to Make LMs Strong Node Classifiers?","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2504.00837","title":"A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives","created":"2025-04-01","cited_by_count":4,"area":null},{"id":"2505.03314","title":"Mamba-Diffusion Model with Learnable Wavelet for Controllable Symbolic Music Generation","created":"2025-05-06","cited_by_count":4,"area":"diffusion"},{"id":"2112.13339","title":"Quasi-Taylor Samplers for Diffusion Generative Models based on Ideal Derivatives","created":"2021-12-26","cited_by_count":3,"area":"diffusion"}],"next_cursor":"100"}