{"total":51,"rows":[{"id":"2206.00941","title":"Improving Diffusion Models for Inverse Problems using Manifold Constraints","created":"2022-06-02","cited_by_count":508,"area":"diffusion"},{"id":"2209.07162","title":"Brain Imaging Generation with Latent Diffusion Models","created":"2022-09-15","cited_by_count":268,"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":"2303.06840","title":"DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion","created":"2023-03-13","cited_by_count":153,"area":"diffusion"},{"id":"2306.07691","title":"StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models","created":"2023-06-13","cited_by_count":152,"area":"diffusion"},{"id":"2406.02347","title":"Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation","created":"2024-06-04","cited_by_count":56,"area":"diffusion"},{"id":"2506.05301","title":"SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training","created":"2025-06-05","cited_by_count":50,"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":"2502.18924","title":"MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesis","created":"2025-02-26","cited_by_count":41,"area":"diffusion"},{"id":"2303.00165","title":"Diffusion Probabilistic Fields","created":"2023-03-01","cited_by_count":28,"area":"diffusion"},{"id":"2404.01367","title":"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models","created":"2024-04-01","cited_by_count":21,"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":"2410.05167","title":"Presto! Distilling Steps and Layers for Accelerating Music Generation","created":"2024-10-07","cited_by_count":16,"area":"diffusion"},{"id":"2503.19012","title":"DiffV2IR: Visible-to-Infrared Diffusion Model via Vision-Language Understanding","created":"2025-03-24","cited_by_count":16,"area":"diffusion"},{"id":"2308.02587","title":"Synthesising Rare Cataract Surgery Samples with Guided Diffusion Models","created":"2023-08-03","cited_by_count":14,"area":"diffusion"},{"id":"2507.17731","title":"Flow Matching Meets Biology and Life Science: A Survey","created":"2025-07-23","cited_by_count":14,"area":"diffusion"},{"id":"2212.06458","title":"HS-Diffusion: Semantic-Mixing Diffusion for Head Swapping","created":"2022-12-13","cited_by_count":13,"area":"diffusion"},{"id":"2303.05275","title":"Detecting Images Generated by Diffusers","created":"2023-03-09","cited_by_count":12,"area":"diffusion"},{"id":"2412.11058","title":"SHMT: Self-supervised Hierarchical Makeup Transfer via Latent Diffusion Models","created":"2024-12-15","cited_by_count":10,"area":"diffusion"},{"id":"2303.11137","title":"AnimeDiffusion: Anime Face Line Drawing Colorization via Diffusion Models","created":"2023-03-20","cited_by_count":9,"area":"diffusion"},{"id":"2401.02414","title":"Bring Metric Functions into Diffusion Models","created":"2024-01-04","cited_by_count":7,"area":"diffusion"},{"id":"2409.02245","title":"FastVoiceGrad: One-step Diffusion-Based Voice Conversion with Adversarial Conditional Diffusion Distillation","created":"2024-09-03","cited_by_count":7,"area":"diffusion"},{"id":"2508.06625","title":"CycleDiff: Cycle Diffusion Models for Unpaired Image-to-image Translation","created":"2025-08-08","cited_by_count":7,"area":"diffusion"},{"id":"2406.05421","title":"3D MRI Synthesis with Slice-Based Latent Diffusion Models: Improving Tumor Segmentation Tasks in Data-Scarce Regimes","created":"2024-06-08","cited_by_count":6,"area":"diffusion"},{"id":"2410.11097","title":"DMOSpeech: Direct Metric Optimization via Distilled Diffusion Model in Zero-Shot Speech Synthesis","created":"2024-10-14","cited_by_count":5,"area":"diffusion"},{"id":"2506.00681","title":"Learning to Upsample and Upmix Audio in the Latent Domain","created":"2025-05-31","cited_by_count":5,"area":"diffusion"},{"id":"2510.21887","title":"Generative AI in Depth: A Survey of Recent Advances, Model Variants, and Real-World Applications","created":"2025-10-23","cited_by_count":5,"area":"diffusion"},{"id":"2604.11521","title":"Continuous Adversarial Flow Models","created":"2026-04-13","cited_by_count":5,"area":"diffusion"},{"id":"2403.05093","title":"Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile","created":"2024-03-08","cited_by_count":4,"area":"diffusion"},{"id":"2305.09401","title":"Diffusion Dataset Generation: Towards Closing the Sim2Real Gap for Pedestrian Detection","created":"2023-05-16","cited_by_count":3,"area":"diffusion"},{"id":"2312.13307","title":"Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models","created":"2023-12-20","cited_by_count":3,"area":"diffusion"},{"id":"2512.05140","title":"FlowEO: Generative Unsupervised Domain Adaptation for Earth Observation","created":"2025-12-01","cited_by_count":3,"area":"diffusion"},{"id":"2306.05182","title":"Interactive Fashion Content Generation Using LLMs and Latent Diffusion Models","created":"2023-05-15","cited_by_count":2,"area":"diffusion"},{"id":"2508.17868","title":"FasterVoiceGrad: Faster One-step Diffusion-Based Voice Conversion with Adversarial Diffusion Conversion Distillation","created":"2025-08-25","cited_by_count":2,"area":"diffusion"},{"id":"2509.08379","title":"LatentVoiceGrad: Nonparallel Voice Conversion with Latent Diffusion/Flow-Matching Models","created":"2025-09-10","cited_by_count":2,"area":"diffusion"},{"id":"2511.18281","title":"Uni-DAD: Unified Distillation and Adaptation of Diffusion Models for Few-step Few-shot Image Generation","created":"2025-11-23","cited_by_count":2,"area":"diffusion"},{"id":"2305.14674","title":"T1: Scaling Diffusion Probabilistic Fields to High-Resolution on Unified Visual Modalities","created":"2023-05-24","cited_by_count":1,"area":"diffusion"},{"id":"2308.01573","title":"Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS","created":"2023-08-03","cited_by_count":1,"area":"diffusion"},{"id":"2406.13625","title":"Enhance the Image: Super Resolution using Artificial Intelligence in MRI","created":"2024-06-19","cited_by_count":1,"area":"diffusion"},{"id":"2506.16741","title":"RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching","created":"2025-06-20","cited_by_count":1,"area":"diffusion"},{"id":"2601.09239","title":"DSA-Tokenizer: Disentangled Semantic-Acoustic Tokenization via Flow Matching-based Hierarchical Fusion","created":"2026-01-14","cited_by_count":1,"area":"diffusion"},{"id":"2306.01654","title":"Insights into Closed-form IPM-GAN Discriminator Guidance for Diffusion Modeling","created":"2023-06-02","cited_by_count":0,"area":"diffusion"},{"id":"2501.11318","title":"Nested Annealed Training Scheme for Generative Adversarial Networks","created":"2025-01-20","cited_by_count":0,"area":"diffusion"},{"id":"2510.00624","title":"UCD: Unconditional Discriminator Promotes Nash Equilibrium in GANs","created":"2025-10-01","cited_by_count":0,"area":"diffusion"},{"id":"2510.17699","title":"GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver","created":"2025-10-20","cited_by_count":0,"area":"diffusion"},{"id":"2605.17605","title":"Venom: A PyTorch Generative Modeling Toolkit","created":"2026-05-17","cited_by_count":0,"area":"diffusion"},{"id":"2606.15304","title":"HemExp: Clinically-Guided Latent Diffusion for Modeling Hematoma Expansion","created":"2026-06-13","cited_by_count":0,"area":"diffusion"},{"id":"2607.16294","title":"A${}^2$BM: Alignment-Aware Bridge Matching for Image-to-Image Translation","created":"2026-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2608.06784","title":"UniCycleFlow: Bidirectional Unpaired Image Translation with a Shared Rectified Flow","created":"2026-08-07","cited_by_count":0,"area":"diffusion"},{"id":"2608.30913","title":"Decoupled Latent Flow Matching for Few-Step Joint Vocal-Accompaniment Separation","created":"2026-08-31","cited_by_count":0,"area":"diffusion"},{"id":"2609.40087","title":"MeanVoiceFlow2: Joint Optimization of Mean Flow and Content Encoder for Fast One-Step Zero-Shot Voice Conversion","created":"2026-09-30","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}