{"total":406,"rows":[{"id":"2505.13447","title":"Mean Flows for One-step Generative Modeling","created":"2025-05-19","cited_by_count":561,"area":null},{"id":"2408.07666","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","created":"2024-08-14","cited_by_count":254,"area":null},{"id":"2311.13384","title":"LucidDreamer: Domain-free Generation of 3D Gaussian Splatting Scenes","created":"2023-11-22","cited_by_count":231,"area":null},{"id":"2506.07339","title":"Real-Time Execution of Action Chunking Flow Policies","created":"2025-06-09","cited_by_count":216,"area":null},{"id":"2503.00200","title":"Unified Video Action Model","created":"2025-02-28","cited_by_count":205,"area":null},{"id":"2412.03632","title":"MV-Adapter: Multi-view Consistent Image Generation Made Easy","created":"2024-12-04","cited_by_count":112,"area":null},{"id":"2512.02012","title":"Improved Mean Flows: On the Challenges of Fastforward Generative Models","created":"2025-12-01","cited_by_count":110,"area":null},{"id":"2306.10574","title":"Score-based Data Assimilation","created":"2023-06-18","cited_by_count":96,"area":null},{"id":"2412.06329","title":"Normalizing Flows are Capable Generative Models","created":"2024-12-09","cited_by_count":91,"area":null},{"id":"2506.09350","title":"Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation","created":"2025-06-11","cited_by_count":90,"area":null},{"id":"2401.08092","title":"A Survey of Resource-efficient LLM and Multimodal Foundation Models","created":"2024-01-16","cited_by_count":86,"area":null},{"id":"2312.11360","title":"Paint-it: Text-to-Texture Synthesis via Deep Convolutional Texture Map Optimization and Physically-Based Rendering","created":"2023-12-18","cited_by_count":84,"area":null},{"id":"2306.01129","title":"White-Box Transformers via Sparse Rate Reduction","created":"2023-06-01","cited_by_count":80,"area":null},{"id":"2412.03568","title":"The Matrix: Infinite-Horizon World Generation with Real-Time Moving Control","created":"2024-12-04","cited_by_count":80,"area":null},{"id":"2401.09050","title":"Consistent3D: Towards Consistent High-Fidelity Text-to-3D Generation with Deterministic Sampling Prior","created":"2024-01-17","cited_by_count":60,"area":null},{"id":"2312.12491","title":"StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation","created":"2023-12-19","cited_by_count":58,"area":null},{"id":"2601.22158","title":"One-step Latent-free Image Generation with Pixel Mean Flows","created":"2026-01-29","cited_by_count":53,"area":null},{"id":"2411.13383","title":"Adversarial Diffusion Compression for Real-World Image Super-Resolution","created":"2024-11-20","cited_by_count":52,"area":null},{"id":"2411.04125","title":"Community Forensics: Using Thousands of Generators to Train Fake Image Detectors","created":"2024-11-06","cited_by_count":50,"area":null},{"id":"2306.01776","title":"From Zero to Turbulence: Generative Modeling for 3D Flow Simulation","created":"2023-05-29","cited_by_count":49,"area":null},{"id":"2607.07534","title":"Infinite Worlds with Versatile Interactions","created":"2026-07-08","cited_by_count":48,"area":null},{"id":"2502.17437","title":"Fractal Generative Models","created":"2025-02-24","cited_by_count":46,"area":null},{"id":"2509.16630","title":"Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation","created":"2025-09-20","cited_by_count":43,"area":null},{"id":"2311.18635","title":"DiffusionAvatars: Deferred Diffusion for High-fidelity 3D Head Avatars","created":"2023-11-30","cited_by_count":42,"area":null},{"id":"2501.04699","title":"EditAR: Unified Conditional Generation with Autoregressive Models","created":"2025-01-08","cited_by_count":40,"area":null},{"id":"2401.11037","title":"Equivariant Graph Neural Operator for Modeling 3D Dynamics","created":"2024-01-19","cited_by_count":38,"area":null},{"id":"2308.10364","title":"SE(3) Equivariant Augmented Coupling Flows","created":"2023-08-20","cited_by_count":37,"area":null},{"id":"2310.19075","title":"Bespoke Solvers for Generative Flow Models","created":"2023-10-29","cited_by_count":37,"area":null},{"id":"2604.28190","title":"Representation Fr\\'echet Loss for Visual Generation","created":"2026-04-30","cited_by_count":37,"area":null},{"id":"2401.11430","title":"Exploring Diffusion Time-steps for Unsupervised Representation Learning","created":"2024-01-21","cited_by_count":36,"area":null},{"id":"2503.07535","title":"LBM: Latent Bridge Matching for Fast Image-to-Image Translation","created":"2025-03-10","cited_by_count":36,"area":null},{"id":"2512.01809","title":"Much Ado About Noising: Dispelling the Myths of Generative Robotic Control","created":"2025-12-01","cited_by_count":36,"area":null},{"id":"2605.10730","title":"Qwen-Image-2.0 Technical Report","created":"2026-05-11","cited_by_count":36,"area":null},{"id":"2607.08639","title":"Native Video-Action Pretraining for Generalizable Robot Control","created":"2026-07-09","cited_by_count":36,"area":null},{"id":"2306.07200","title":"Fill-Up: Balancing Long-Tailed Data with Generative Models","created":"2023-06-12","cited_by_count":34,"area":null},{"id":"2412.01819","title":"Switti: Designing Scale-Wise Transformers for Text-to-Image Synthesis","created":"2024-12-02","cited_by_count":33,"area":null},{"id":"2403.00025","title":"On the Challenges and Opportunities in Generative AI","created":"2024-02-28","cited_by_count":31,"area":null},{"id":"2410.05227","title":"The Dawn of Video Generation: Preliminary Explorations with SORA-like Models","created":"2024-10-07","cited_by_count":31,"area":null},{"id":"2310.12149","title":"Object-aware Inversion and Reassembly for Image Editing","created":"2023-10-18","cited_by_count":30,"area":null},{"id":"2503.08037","title":"ObjectMover: Generative Object Movement with Video Prior","created":"2025-03-11","cited_by_count":30,"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":"2412.06782","title":"CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction","created":"2024-12-09","cited_by_count":27,"area":null},{"id":"2412.18153","title":"DepthLab: From Partial to Complete","created":"2024-12-24","cited_by_count":27,"area":null},{"id":"2410.10076","title":"VideoAgent: Self-Improving Video Generation","created":"2024-10-14","cited_by_count":25,"area":null},{"id":"2501.08279","title":"SmartEraser: Remove Anything from Images using Masked-Region Guidance","created":"2025-01-14","cited_by_count":24,"area":null},{"id":"2501.10928","title":"Generative Physical AI in Vision: A Survey","created":"2025-01-19","cited_by_count":24,"area":null},{"id":"2503.09817","title":"Temporal Difference Flows","created":"2025-03-12","cited_by_count":24,"area":null},{"id":"2412.09465","title":"OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs","created":"2024-12-12","cited_by_count":22,"area":null},{"id":"2309.05704","title":"CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation","created":"2023-09-11","cited_by_count":20,"area":null},{"id":"2404.09562","title":"{\\sigma}-GPTs: A New Approach to Autoregressive Models","created":"2024-04-15","cited_by_count":20,"area":null},{"id":"2510.24474","title":"Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling","created":"2025-10-28","cited_by_count":20,"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":"2405.06780","title":"Deep MMD Gradient Flow without adversarial training","created":"2024-05-10","cited_by_count":19,"area":null},{"id":"2311.01462","title":"Idempotent Generative Network","created":"2023-11-02","cited_by_count":18,"area":null},{"id":"2312.09597","title":"Deep Generative Models for Detector Signature Simulation: A Taxonomic Review","created":"2023-12-15","cited_by_count":18,"area":null},{"id":"2406.11740","title":"Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies","created":"2024-06-17","cited_by_count":18,"area":null},{"id":"2407.13584","title":"Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation","created":"2024-07-18","cited_by_count":18,"area":null},{"id":"2512.02636","title":"Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-based Models","created":"2025-12-02","cited_by_count":18,"area":null},{"id":"2602.19083","title":"ChordEdit: One-Step Low-Energy Transport for Image Editing","created":"2026-02-22","cited_by_count":18,"area":null},{"id":"2311.11475","title":"Gaussian Interpolation Flows","created":"2023-11-20","cited_by_count":17,"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":"2412.03512","title":"Distillation of Diffusion Features for Semantic Correspondence","created":"2024-12-04","cited_by_count":17,"area":null},{"id":"2501.15420","title":"Visual Generation Without Guidance","created":"2025-01-26","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":"2309.15533","title":"Uncertainty Quantification via Neural Posterior Principal Components","created":"2023-09-27","cited_by_count":16,"area":null},{"id":"2310.01819","title":"TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling","created":"2023-10-03","cited_by_count":16,"area":null},{"id":"2404.01143","title":"Condition-Aware Neural Network for Controlled Image Generation","created":"2024-04-01","cited_by_count":16,"area":null},{"id":"2407.13842","title":"Language-Driven 6-DoF Grasp Detection Using Negative Prompt Guidance","created":"2024-07-18","cited_by_count":16,"area":null},{"id":"2503.20349","title":"Consistency Trajectory Matching for One-Step Generative Super-Resolution","created":"2025-03-26","cited_by_count":16,"area":null},{"id":"2501.11587","title":"Recurrent Diffusion for Large-Scale Parameter Generation","created":"2025-01-20","cited_by_count":15,"area":null},{"id":"2502.17100","title":"Generative Models in Decision Making: A Survey","created":"2025-02-24","cited_by_count":15,"area":null},{"id":"2605.23458","title":"One-Forcing: Towards Stable One-Step Autoregressive Video Generation","created":"2026-05-22","cited_by_count":15,"area":null},{"id":"2305.11818","title":"MaGIC: Multi-modality Guided Image Completion","created":"2023-05-19","cited_by_count":14,"area":null},{"id":"2307.09547","title":"DreaMR: Diffusion-driven Counterfactual Explanation for Functional MRI","created":"2023-07-18","cited_by_count":14,"area":null},{"id":"2403.06069","title":"Implicit Image-to-Image Schrodinger Bridge for Image Restoration","created":"2024-03-10","cited_by_count":14,"area":null},{"id":"2403.12636","title":"A Practical Guide to Sample-based Statistical Distances for Evaluating Generative Models in Science","created":"2024-03-19","cited_by_count":14,"area":null},{"id":"2408.17064","title":"Instant Adversarial Purification with Adversarial Consistency Distillation","created":"2024-08-30","cited_by_count":14,"area":null},{"id":"2410.17664","title":"Deep Generative Models for 3D Medical Image Synthesis","created":"2024-10-23","cited_by_count":14,"area":null},{"id":"2411.13552","title":"REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents","created":"2024-11-20","cited_by_count":14,"area":null},{"id":"2412.04470","title":"Turbo3D: Ultra-fast Text-to-3D Generation","created":"2024-12-05","cited_by_count":14,"area":null},{"id":"2505.08175","title":"Fast Text-to-Audio Generation with Adversarial Post-Training","created":"2025-05-13","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":"2305.10769","title":"Catch-Up Distillation: You Only Need to Train Once for Accelerating Sampling","created":"2023-05-18","cited_by_count":13,"area":null},{"id":"2311.08675","title":"Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints","created":"2023-11-15","cited_by_count":13,"area":null},{"id":"2403.02981","title":"Doubly Abductive Counterfactual Inference for Text-based Image Editing","created":"2024-03-05","cited_by_count":13,"area":null},{"id":"2410.12346","title":"Efficient Diffusion as Low Light Enhancer","created":"2024-10-16","cited_by_count":13,"area":null},{"id":"2412.09265","title":"Score and Distribution Matching Policy: Advanced Accelerated Visuomotor Policies via Matched Distillation","created":"2024-12-12","cited_by_count":13,"area":null},{"id":"2506.08822","title":"FreqPolicy: Efficient Flow-based Visuomotor Policy via Frequency Consistency","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2507.12549","title":"The Serial Scaling Hypothesis","created":"2025-07-16","cited_by_count":13,"area":null},{"id":"2508.09973","title":"PERSONA: Personalized Whole-Body 3D Avatar with Pose-Driven Deformations from a Single Image","created":"2025-08-13","cited_by_count":13,"area":null},{"id":"2512.09914","title":"FALCON: Few-step Accurate Likelihoods for Continuous Flows","created":"2025-12-10","cited_by_count":13,"area":null},{"id":"2504.10485","title":"Decoupled Diffusion Sparks Adaptive Scene Generation","created":"2025-04-14","cited_by_count":12,"area":null},{"id":"2511.22475","title":"Adversarial Flow Models","created":"2025-11-27","cited_by_count":12,"area":null},{"id":"2505.02823","title":"MUSAR: Exploring Multi-Subject Customization from Single-Subject Dataset via Attention Routing","created":"2025-05-05","cited_by_count":11,"area":null},{"id":"2509.21318","title":"SD3.5-Flash: Distribution-Guided Distillation of Generative Flows","created":"2025-09-25","cited_by_count":11,"area":null},{"id":"2601.10103","title":"FlowAct-R1: Towards Interactive Humanoid Video Generation","created":"2026-01-15","cited_by_count":11,"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":"2312.03475","title":"Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion","created":"2023-12-06","cited_by_count":10,"area":null},{"id":"2407.11784","title":"Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development","created":"2024-07-16","cited_by_count":10,"area":null}],"next_cursor":"100"}