{"total":291,"rows":[{"id":"2403.03206","title":"Scaling Rectified Flow Transformers for High-Resolution Image Synthesis","created":"2024-03-05","cited_by_count":4181,"area":"diffusion"},{"id":"2311.18828","title":"One-step Diffusion with Distribution Matching Distillation","created":"2023-11-30","cited_by_count":1019,"area":"diffusion"},{"id":"2310.04378","title":"Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference","created":"2023-10-06","cited_by_count":846,"area":"diffusion"},{"id":"2311.17042","title":"Adversarial Diffusion Distillation","created":"2023-11-28","cited_by_count":759,"area":"diffusion"},{"id":"2405.14867","title":"Improved Distribution Matching Distillation for Fast Image Synthesis","created":"2024-05-23","cited_by_count":684,"area":"diffusion"},{"id":"2412.07772","title":"From Slow Bidirectional to Fast Autoregressive Video Diffusion Models","created":"2024-12-10","cited_by_count":433,"area":"diffusion"},{"id":"2405.08748","title":"Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding","created":"2024-05-14","cited_by_count":298,"area":"diffusion"},{"id":"2402.13929","title":"SDXL-Lightning: Progressive Adversarial Diffusion Distillation","created":"2024-02-21","cited_by_count":266,"area":"diffusion"},{"id":"2410.10733","title":"Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models","created":"2024-10-14","cited_by_count":217,"area":"diffusion"},{"id":"2502.01776","title":"Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity","created":"2025-02-03","cited_by_count":217,"area":"diffusion"},{"id":"2502.02538","title":"Flow Q-Learning","created":"2025-02-04","cited_by_count":184,"area":"diffusion"},{"id":"2311.09257","title":"UFOGen: You Forward Once Large Scale Text-to-Image Generation via Diffusion GANs","created":"2023-11-14","cited_by_count":166,"area":"diffusion"},{"id":"2405.07503","title":"Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation","created":"2024-05-13","cited_by_count":166,"area":"diffusion"},{"id":"2411.07975","title":"JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation","created":"2024-11-12","cited_by_count":163,"area":"diffusion"},{"id":"2501.08316","title":"Diffusion Adversarial Post-Training for One-Step Video Generation","created":"2025-01-14","cited_by_count":151,"area":"diffusion"},{"id":"2406.08070","title":"CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models","created":"2024-06-12","cited_by_count":149,"area":"diffusion"},{"id":"2403.12036","title":"One-Step Image Translation with Text-to-Image Models","created":"2024-03-18","cited_by_count":116,"area":"diffusion"},{"id":"2406.08552","title":"DiTFastAttn: Attention Compression for Diffusion Transformer Models","created":"2024-06-12","cited_by_count":115,"area":"diffusion"},{"id":"2312.05239","title":"SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation","created":"2023-12-08","cited_by_count":110,"area":"diffusion"},{"id":"2405.20320","title":"Improving the Training of Rectified Flows","created":"2024-05-30","cited_by_count":108,"area":"diffusion"},{"id":"2411.02397","title":"Adaptive Caching for Faster Video Generation with Diffusion Transformers","created":"2024-11-04","cited_by_count":108,"area":"diffusion"},{"id":"2407.02398","title":"Consistency Flow Matching: Defining Straight Flows with Velocity Consistency","created":"2024-07-02","cited_by_count":104,"area":"diffusion"},{"id":"2310.10123","title":"AutoDIR: Automatic All-in-One Image Restoration with Latent Diffusion","created":"2023-10-16","cited_by_count":100,"area":"diffusion"},{"id":"2312.11994","title":"Optimizing Diffusion Noise Can Serve As Universal Motion Priors","created":"2023-12-19","cited_by_count":98,"area":"diffusion"},{"id":"2405.07510","title":"PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator","created":"2024-05-13","cited_by_count":97,"area":"diffusion"},{"id":"2404.14507","title":"Align Your Steps: Optimizing Sampling Schedules in Diffusion Models","created":"2024-04-22","cited_by_count":96,"area":"diffusion"},{"id":"2406.04103","title":"Multistep Distillation of Diffusion Models via Moment Matching","created":"2024-06-06","cited_by_count":82,"area":"diffusion"},{"id":"2502.14831","title":"Improving the Diffusability of Autoencoders","created":"2025-02-20","cited_by_count":80,"area":"diffusion"},{"id":"2403.13117","title":"Optimal Flow Matching: Learning Straight Trajectories in Just One Step","created":"2024-03-19","cited_by_count":78,"area":"diffusion"},{"id":"2405.05967","title":"Distilling Diffusion Models into Conditional GANs","created":"2024-05-09","cited_by_count":78,"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":"2410.08151","title":"Progressive Autoregressive Video Diffusion Models","created":"2024-10-10","cited_by_count":68,"area":"diffusion"},{"id":"2403.06807","title":"Multistep Consistency Models","created":"2024-03-11","cited_by_count":67,"area":"diffusion"},{"id":"2312.09168","title":"DiffusionLight: Light Probes for Free by Painting a Chrome Ball","created":"2023-12-14","cited_by_count":64,"area":"diffusion"},{"id":"2405.16852","title":"EM Distillation for One-step Diffusion Models","created":"2024-05-27","cited_by_count":62,"area":"diffusion"},{"id":"2410.07303","title":"Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow","created":"2024-10-09","cited_by_count":61,"area":"diffusion"},{"id":"2503.06674","title":"Learning Few-Step Diffusion Models by Trajectory Distribution Matching","created":"2025-03-09","cited_by_count":57,"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":"2405.18881","title":"Inference-Time Alignment of Diffusion Models with Direct Noise Optimization","created":"2024-05-29","cited_by_count":55,"area":"diffusion"},{"id":"2405.18816","title":"Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching","created":"2024-05-29","cited_by_count":53,"area":"diffusion"},{"id":"2406.00320","title":"Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching","created":"2024-06-01","cited_by_count":53,"area":"diffusion"},{"id":"2502.04299","title":"MotionCanvas: Cinematic Shot Design with Controllable Image-to-Video Generation","created":"2025-02-06","cited_by_count":50,"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":"2403.12706","title":"AnimateDiff-Lightning: Cross-Model Diffusion Distillation","created":"2024-03-19","cited_by_count":47,"area":"diffusion"},{"id":"2410.14919","title":"Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step","created":"2024-10-19","cited_by_count":47,"area":"diffusion"},{"id":"2402.03207","title":"Light and Optimal Schr\\\"odinger Bridge Matching","created":"2024-02-05","cited_by_count":45,"area":"diffusion"},{"id":"2408.14176","title":"SwiftBrush v2: Make Your One-step Diffusion Model Better Than Its Teacher","created":"2024-08-26","cited_by_count":45,"area":"diffusion"},{"id":"2511.22677","title":"Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield","created":"2025-11-27","cited_by_count":45,"area":"diffusion"},{"id":"2501.18898","title":"GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal Modeling","created":"2025-01-31","cited_by_count":44,"area":"diffusion"},{"id":"2510.12747","title":"FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution","created":"2025-10-14","cited_by_count":43,"area":"diffusion"},{"id":"2311.16567","title":"MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices","created":"2023-11-28","cited_by_count":42,"area":"diffusion"},{"id":"2405.15506","title":"Learning to Discretize Denoising Diffusion ODEs","created":"2024-05-24","cited_by_count":41,"area":"diffusion"},{"id":"2502.01993","title":"One Diffusion Step to Real-World Super-Resolution via Flow Trajectory Distillation","created":"2025-02-04","cited_by_count":41,"area":"diffusion"},{"id":"2507.18569","title":"Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis","created":"2025-07-24","cited_by_count":41,"area":"diffusion"},{"id":"2406.04324","title":"SF-V: Single Forward Video Generation Model","created":"2024-06-06","cited_by_count":40,"area":"diffusion"},{"id":"2412.01064","title":"FLOAT: Generative Motion Latent Flow Matching for Audio-driven Talking Portrait","created":"2024-12-02","cited_by_count":40,"area":"diffusion"},{"id":"2412.00100","title":"Steering Rectified Flow Models in the Vector Field for Controlled Image Generation","created":"2024-11-27","cited_by_count":39,"area":"diffusion"},{"id":"2504.13109","title":"UniEdit-Flow: Unleashing Inversion and Editing in the Era of Flow Models","created":"2025-04-17","cited_by_count":39,"area":"diffusion"},{"id":"2406.03293","title":"Text-to-Image Rectified Flow as Plug-and-Play Priors","created":"2024-06-05","cited_by_count":38,"area":"diffusion"},{"id":"2502.06805","title":"Efficient Diffusion Models: A Survey","created":"2025-02-03","cited_by_count":35,"area":"diffusion"},{"id":"2410.07815","title":"Simple ReFlow: Improved Techniques for Fast Flow Models","created":"2024-10-10","cited_by_count":34,"area":"diffusion"},{"id":"2502.01819","title":"Score as Action: Fine-Tuning Diffusion Generative Models by Continuous-time Reinforcement Learning","created":"2025-02-03","cited_by_count":33,"area":"diffusion"},{"id":"2409.19681","title":"Simple and Fast Distillation of Diffusion Models","created":"2024-09-29","cited_by_count":32,"area":"diffusion"},{"id":"2401.05735","title":"Object-Centric Diffusion for Efficient Video Editing","created":"2024-01-11","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":"2501.05370","title":"Accelerated Diffusion Models via Speculative Sampling","created":"2025-01-09","cited_by_count":31,"area":"diffusion"},{"id":"2503.09950","title":"MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation","created":"2025-03-13","cited_by_count":31,"area":"diffusion"},{"id":"2505.16239","title":"DOVE: Efficient One-Step Diffusion Model for Real-World Video Super-Resolution","created":"2025-05-22","cited_by_count":31,"area":"diffusion"},{"id":"2402.09970","title":"Accelerating Parallel Sampling of Diffusion Models","created":"2024-02-15","cited_by_count":30,"area":"diffusion"},{"id":"2405.17403","title":"A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training","created":"2024-05-27","cited_by_count":30,"area":"diffusion"},{"id":"2407.12718","title":"SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow","created":"2024-07-17","cited_by_count":30,"area":"diffusion"},{"id":"2506.03164","title":"Test-Time Scaling of Diffusion Models via Noise Trajectory Search","created":"2025-05-24","cited_by_count":30,"area":"diffusion"},{"id":"2403.14291","title":"Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models","created":"2024-03-21","cited_by_count":29,"area":"diffusion"},{"id":"2506.02221","title":"Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment","created":"2025-06-02","cited_by_count":29,"area":"diffusion"},{"id":"2412.04301","title":"SwiftEdit: Lightning Fast Text-Guided Image Editing via One-Step Diffusion","created":"2024-12-05","cited_by_count":28,"area":"diffusion"},{"id":"2404.08926","title":"Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives","created":"2024-04-13","cited_by_count":27,"area":"diffusion"},{"id":"2405.14822","title":"PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher","created":"2024-05-23","cited_by_count":27,"area":"diffusion"},{"id":"2403.12931","title":"You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs","created":"2024-03-19","cited_by_count":26,"area":"diffusion"},{"id":"2410.19310","title":"Flow Generator Matching","created":"2024-10-25","cited_by_count":26,"area":"diffusion"},{"id":"2412.15689","title":"DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization","created":"2024-12-20","cited_by_count":26,"area":"diffusion"},{"id":"2502.06155","title":"Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile","created":"2025-02-10","cited_by_count":26,"area":"diffusion"},{"id":"2403.16627","title":"SDXS: Real-Time One-Step Latent Diffusion Models with Image Conditions","created":"2024-03-25","cited_by_count":24,"area":"diffusion"},{"id":"2503.06132","title":"USP: Unified Self-Supervised Pretraining for Image Generation and Understanding","created":"2025-03-08","cited_by_count":24,"area":"diffusion"},{"id":"2503.14487","title":"DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers","created":"2025-03-18","cited_by_count":24,"area":"diffusion"},{"id":"2505.18809","title":"VORTA: Efficient Video Diffusion via Routing Sparse Attention","created":"2025-05-24","cited_by_count":23,"area":"diffusion"},{"id":"2410.14895","title":"Truncated Consistency Models","created":"2024-10-18","cited_by_count":22,"area":"diffusion"},{"id":"2411.16720","title":"Importance-Based Token Merging for Efficient Image and Video Generation","created":"2024-11-23","cited_by_count":22,"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":"2406.00356","title":"AudioLCM: Text-to-Audio Generation with Latent Consistency Models","created":"2024-06-01","cited_by_count":21,"area":"diffusion"},{"id":"2506.03123","title":"Dual-Expert Consistency Model for Efficient and High-Quality Video Generation","created":"2025-06-03","cited_by_count":21,"area":"diffusion"},{"id":"2507.23675","title":"One-Step Flow Policy Mirror Descent","created":"2025-07-31","cited_by_count":21,"area":"diffusion"},{"id":"2405.20282","title":"SemFlow: Binding Semantic Segmentation and Image Synthesis via Rectified Flow","created":"2024-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2404.12382","title":"Lazy Diffusion Transformer for Interactive Image Editing","created":"2024-04-18","cited_by_count":19,"area":"diffusion"},{"id":"2407.12173","title":"Beta Sampling is All You Need: Efficient Image Generation Strategy for Diffusion Models using Stepwise Spectral Analysis","created":"2024-07-16","cited_by_count":19,"area":"diffusion"},{"id":"2410.04224","title":"Unleashing the Power of One-Step Diffusion based Image Super-Resolution via a Large-Scale Diffusion Discriminator","created":"2024-10-05","cited_by_count":19,"area":"diffusion"},{"id":"2311.15908","title":"Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models","created":"2023-11-27","cited_by_count":18,"area":"diffusion"},{"id":"2312.08128","title":"Clockwork Diffusion: Efficient Generation With Model-Step Distillation","created":"2023-12-13","cited_by_count":18,"area":"diffusion"},{"id":"2505.19712","title":"On the Relation between Rectified Flows and Optimal Transport","created":"2025-05-26","cited_by_count":18,"area":"diffusion"},{"id":"2409.19128","title":"Pruning then Reweighting: Towards Data-Efficient Training of Diffusion Models","created":"2024-09-27","cited_by_count":17,"area":"diffusion"},{"id":"2508.07519","title":"Exploring Multimodal Diffusion Transformers for Enhanced Prompt-based Image Editing","created":"2025-08-11","cited_by_count":17,"area":"diffusion"}],"next_cursor":"100"}