{"total":34,"rows":[{"id":"2602.04770","title":"Generative Modeling via Drifting","created":"2026-02-04","cited_by_count":116,"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":"2504.07963","title":"PixelFlow: Pixel-Space Generative Models with Flow","created":"2025-04-10","cited_by_count":97,"area":null},{"id":"2502.20388","title":"Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation","created":"2025-02-27","cited_by_count":71,"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":"2502.17437","title":"Fractal Generative Models","created":"2025-02-24","cited_by_count":46,"area":null},{"id":"2510.23588","title":"FARMER: Flow AutoRegressive Transformer over Pixels","created":"2025-10-27","cited_by_count":18,"area":null},{"id":"2505.23660","title":"D-AR: Diffusion via Autoregressive Models","created":"2025-05-29","cited_by_count":9,"area":null},{"id":"2602.09024","title":"Autoregressive Image Generation with Masked Bit Modeling","created":"2026-02-09","cited_by_count":9,"area":null},{"id":"2605.12964","title":"Asymmetric Flow Models","created":"2026-05-13","cited_by_count":8,"area":null},{"id":"2509.23122","title":"Stochastic Interpolants via Conditional Dependent Coupling","created":"2025-09-27","cited_by_count":7,"area":null},{"id":"2510.04961","title":"SSDD: Single-Step Diffusion Decoder for Efficient Image Tokenization","created":"2025-10-06","cited_by_count":7,"area":null},{"id":"2512.04084","title":"SimFlow: Simplified and End-to-End Training of Latent Normalizing Flows","created":"2025-12-03","cited_by_count":7,"area":null},{"id":"2605.30341","title":"GPIC: A Giant Permissive Image Corpus for Visual Generation","created":"2026-05-28","cited_by_count":7,"area":null},{"id":"2605.31604","title":"Representation Forcing for Bottleneck-Free Unified Multimodal Models","created":"2026-05-29","cited_by_count":4,"area":null},{"id":"2507.06613","title":"Denoising Multi-Beta VAE: Representation Learning for Disentanglement and Generation","created":"2025-07-09","cited_by_count":3,"area":null},{"id":"2602.03924","title":"WIND: Weather Inverse Diffusion for Zero-Shot Atmospheric Modeling","created":"2026-02-03","cited_by_count":3,"area":null},{"id":"2506.02276","title":"Latent Stochastic Interpolants","created":"2025-06-02","cited_by_count":2,"area":null},{"id":"2507.17800","title":"Improving Multislice Electron Ptychography with a Generative Prior","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2510.16004","title":"PAINT: Parallel-in-time Neural Twins for Dynamical System Reconstruction","created":"2025-10-14","cited_by_count":2,"area":null},{"id":"2605.18749","title":"WavFlow: Audio Generation in Waveform Space","created":"2026-05-18","cited_by_count":2,"area":null},{"id":"2608.29335","title":"GenFirst: Generation Before Reconstruction for Stable End-to-End Latent Generative Modeling","created":"2026-08-29","cited_by_count":2,"area":null},{"id":"2504.05977","title":"Diffusion Based Ambiguous Image Segmentation","created":"2025-04-08","cited_by_count":1,"area":null},{"id":"2506.02473","title":"Generative Perception of Shape and Material from Differential Motion","created":"2025-06-03","cited_by_count":1,"area":null},{"id":"2512.19311","title":"MixFlow Training: Alleviating Exposure Bias with Slowed Interpolation Mixture","created":"2025-12-22","cited_by_count":1,"area":null},{"id":"2603.18792","title":"Rethinking Uncertainty Quantification and Entanglement in Image Segmentation","created":"2026-03-19","cited_by_count":1,"area":null},{"id":"2606.26016","title":"MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation","created":"2026-06-24","cited_by_count":1,"area":null},{"id":"2509.14298","title":"SpeechOp: Inference-Time Task Composition for Generative Speech Processing","created":"2025-09-17","cited_by_count":0,"area":null},{"id":"2601.02881","title":"Towards Agnostic and Holistic Universal Image Segmentation with Bit Diffusion","created":"2026-01-06","cited_by_count":0,"area":null},{"id":"2602.06346","title":"FlowConsist: Make Your Flow Consistent with Real Trajectory","created":"2026-02-06","cited_by_count":0,"area":null},{"id":"2607.05325","title":"CenSynCMB: Centre Maps and Physics-Guided Synthesis for Microbleed Detection","created":"2026-07-06","cited_by_count":0,"area":null},{"id":"2609.22789","title":"PixelART: Image-to-Layer Decomposition without Latents or Text-to-Image Pretraining","created":"2026-09-19","cited_by_count":0,"area":null},{"id":"2609.24088","title":"A Latent Distribution Perspective on Evaluating and Improving Latent Generative Models","created":"2026-09-21","cited_by_count":0,"area":null},{"id":"2610.05711","title":"From Pixels, Without Pre-training: Joint Generative and Self-Supervised Representation Learning in One Model","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}