{"total":45,"rows":[{"id":"2505.13447","title":"Mean Flows for One-step Generative Modeling","created":"2025-05-19","cited_by_count":561,"area":null},{"id":"2602.04770","title":"Generative Modeling via Drifting","created":"2026-02-04","cited_by_count":116,"area":null},{"id":"2512.16776","title":"Kling-Omni Technical Report","created":"2025-12-18","cited_by_count":71,"area":null},{"id":"2604.28190","title":"Representation Fr\\'echet Loss for Visual Generation","created":"2026-04-30","cited_by_count":37,"area":null},{"id":"2510.14974","title":"pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation","created":"2025-10-16","cited_by_count":29,"area":null},{"id":"2602.03139","title":"Diversity-Preserved Distribution Matching Distillation for Fast Visual Synthesis","created":"2026-02-03","cited_by_count":20,"area":null},{"id":"2603.09936","title":"Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective","created":"2026-03-10","cited_by_count":20,"area":null},{"id":"2412.02030","title":"NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training","created":"2024-12-02","cited_by_count":17,"area":null},{"id":"2512.05150","title":"TwinFlow: Realizing One-step Generation on Large Models with Self-adversarial Flows","created":"2025-12-03","cited_by_count":17,"area":null},{"id":"2502.01362","title":"Inverse Bridge Matching Distillation","created":"2025-02-03","cited_by_count":14,"area":null},{"id":"2511.19428","title":"Flow Map Distillation Without Data","created":"2025-11-24","cited_by_count":14,"area":null},{"id":"2508.16790","title":"TaDiCodec: Text-aware Diffusion Speech Tokenizer for Speech Language Modeling","created":"2025-08-22","cited_by_count":13,"area":null},{"id":"2607.02375","title":"Representation Distribution Matching for One-Step Visual Generation","created":"2026-07-02","cited_by_count":11,"area":null},{"id":"2405.16730","title":"\"Noisier\" Noise Contrastive Eestimation is (Almost) Maximum Likelihood","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2601.15664","title":"Skywork UniPic 3.0: Unified Multi-Image Composition via Sequence Modeling","created":"2026-01-22","cited_by_count":7,"area":null},{"id":"2511.20426","title":"Block Cascading: Training Free Acceleration of Block-Causal Video Models","created":"2025-11-25","cited_by_count":6,"area":null},{"id":"2512.07778","title":"Distribution Matching Variational AutoEncoder","created":"2025-12-08","cited_by_count":6,"area":null},{"id":"2410.04811","title":"Learning Efficient and Effective Trajectories for Differential Equation-based Image Restoration","created":"2024-10-07","cited_by_count":5,"area":null},{"id":"2509.03348","title":"Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner","created":"2025-09-03","cited_by_count":5,"area":null},{"id":"2511.19065","title":"Understanding, Accelerating, and Improving MeanFlow Training","created":"2025-11-24","cited_by_count":4,"area":null},{"id":"2607.26811","title":"DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation","created":"2026-07-29","cited_by_count":4,"area":null},{"id":"2605.12183","title":"DriftXpress: Faster Drifting Models via Projected RKHS Fields","created":"2026-05-12","cited_by_count":3,"area":null},{"id":"2606.15553","title":"Distilling Drifting Transformers with Representation Autoencoders","created":"2026-06-14","cited_by_count":3,"area":null},{"id":"2505.16024","title":"Toward Theoretical Insights into Diffusion Trajectory Distillation via Operator Merging","created":"2025-05-21","cited_by_count":2,"area":null},{"id":"2510.21003","title":"Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation","created":"2025-10-23","cited_by_count":2,"area":null},{"id":"2602.03627","title":"Ultra Fast PDE Solving via Physics Guided Few-step Diffusion","created":"2026-02-03","cited_by_count":2,"area":null},{"id":"2603.20690","title":"MFSR: MeanFlow Distillation for One Step Real-World Image Super Resolution","created":"2026-03-21","cited_by_count":2,"area":null},{"id":"2510.03095","title":"SPID: Distilled Protein Backbone Generation","created":"2025-10-03","cited_by_count":1,"area":null},{"id":"2601.12023","title":"A Kernel Approach for Semi-implicit Variational Inference","created":"2026-01-17","cited_by_count":1,"area":null},{"id":"2605.29194","title":"Stochastic Lifting for Generating Trajectories of Stochastic Physical Systems","created":"2026-05-28","cited_by_count":1,"area":null},{"id":"2609.35763","title":"Unifying Distributional Training for One-Step Visual Generation","created":"2026-09-28","cited_by_count":1,"area":null},{"id":"2410.04421","title":"Disentangling Regional Primitives for Image Generation","created":"2024-10-06","cited_by_count":0,"area":null},{"id":"2411.01453","title":"Denoising Fisher Training For Neural Implicit Samplers","created":"2024-11-03","cited_by_count":0,"area":null},{"id":"2507.18192","title":"TeEFusion: Blending Text Embeddings to Distill Classifier-Free Guidance","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2605.03623","title":"A Few-Step Generative Model on Cumulative Flow Maps","created":"2026-05-05","cited_by_count":0,"area":null},{"id":"2605.15908","title":"RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.16486","title":"StAD: Stein Amortized Divergence for Fast Likelihoods with Diffusion and Flow","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2605.25042","title":"Unbiased Diffusion Variational Inversion via Principled Posterior Matching","created":"2026-05-24","cited_by_count":0,"area":null},{"id":"2608.01288","title":"TurboClear: One-Step Object-Effect Removal via Region-Calibrated Distribution Matching and Fusion","created":"2026-08-02","cited_by_count":0,"area":null},{"id":"2609.23010","title":"MixiMotion: One-Step Text-to-Motion Generation via Asymmetric Set Distillation","created":"2026-09-19","cited_by_count":0,"area":null},{"id":"2609.29225","title":"ComplexSync: High-Fidelity and Real-Time Lip Sync in Complex Scenarios","created":"2026-09-24","cited_by_count":0,"area":null},{"id":"2609.39271","title":"RW-Flow: One-Step Generation on Compact Manifolds via Wasserstein Gradient Flows","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.02208","title":"Sphere Encoder 2","created":"2026-10-01","cited_by_count":0,"area":null},{"id":"2610.03626","title":"Depth as Time in One-Step Generative Models","created":"2026-10-02","cited_by_count":0,"area":null},{"id":"2610.10990","title":"Omni-Diffusion-Distill: Few-Step Distillation of Unified Multimodal Diffusion Large Language Models","created":"2026-10-07","cited_by_count":0,"area":null}],"next_cursor":null}