{"total":39,"rows":[{"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":"2505.02567","title":"Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities","created":"2025-05-05","cited_by_count":85,"area":null},{"id":"2503.10772","title":"FlowTok: Flowing Seamlessly Across Text and Image Tokens","created":"2025-03-13","cited_by_count":33,"area":null},{"id":"2503.01103","title":"Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator","created":"2025-03-03","cited_by_count":23,"area":null},{"id":"2510.23588","title":"FARMER: Flow AutoRegressive Transformer over Pixels","created":"2025-10-27","cited_by_count":18,"area":null},{"id":"2601.02204","title":"NextFlow: Unified Sequential Modeling Activates Multimodal Understanding and Generation","created":"2026-01-05","cited_by_count":14,"area":null},{"id":"2504.14470","title":"Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis","created":"2025-04-20","cited_by_count":13,"area":null},{"id":"2503.08354","title":"Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis","created":"2025-03-11","cited_by_count":10,"area":null},{"id":"2510.27688","title":"Continuous Autoregressive Language Models","created":"2025-10-31","cited_by_count":10,"area":null},{"id":"2503.14494","title":"Deeply Supervised Flow-Based Generative Models","created":"2025-03-18","cited_by_count":9,"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":"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":"2512.10953","title":"Bidirectional Normalizing Flow: From Data to Noise and Back","created":"2025-12-11","cited_by_count":7,"area":null},{"id":"2510.03597","title":"Neon: Negative Extrapolation From Self-Training Improves Image Generation","created":"2025-10-04","cited_by_count":5,"area":null},{"id":"2511.01200","title":"MoSa: Motion Generation with Scalable Autoregressive Modeling","created":"2025-11-03","cited_by_count":5,"area":null},{"id":"2602.14041","title":"BitDance: Scaling Autoregressive Generative Models with Binary Tokens","created":"2026-02-15","cited_by_count":4,"area":null},{"id":"2503.23612","title":"Diffusion-Free Graph Generation with Next-Scale Prediction","created":"2025-03-30","cited_by_count":3,"area":null},{"id":"2505.16324","title":"From Prediction to Perfection: Introducing Refinement to Autoregressive Image Generation","created":"2025-05-22","cited_by_count":3,"area":null},{"id":"2508.10719","title":"Exploiting Discriminative Codebook Prior for Autoregressive Image Generation","created":"2025-08-14","cited_by_count":2,"area":null},{"id":"2510.17171","title":"Generation then Reconstruction: Accelerating Masked Autoregressive Models via Two-Stage Sampling","created":"2025-10-20","cited_by_count":2,"area":null},{"id":"2601.14671","title":"Mirai: Autoregressive Visual Generation Needs Foresight","created":"2026-01-21","cited_by_count":2,"area":null},{"id":"2606.11096","title":"IDEAL: In-DEpth ALignment Makes A Discrete Representation AutoEncoder","created":"2026-06-09","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":"2512.03796","title":"LSRS: Latent Scale Rejection Sampling for Visual Autoregressive Modeling","created":"2025-12-03","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":"2601.14246","title":"Soft Tail-dropping for Adaptive Visual Tokenization","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2603.27115","title":"SJD-VP: Speculative Jacobi Decoding with Verification Prediction for Autoregressive Image Generation","created":"2026-03-28","cited_by_count":1,"area":null},{"id":"2605.30317","title":"VPG: Visual Prefix Guidance for Autoregressive Image and Video Generation","created":"2026-05-28","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":"2512.22489","title":"Tracking by Predicting 3-D Gaussians Over Time","created":"2025-12-27","cited_by_count":0,"area":null},{"id":"2601.19488","title":"Entropy-Guided k-Guard Sampling for Long-Horizon Autoregressive Video Generation","created":"2026-01-27","cited_by_count":0,"area":null},{"id":"2602.03811","title":"Progressive Checkerboards for Autoregressive Multiscale Image Generation","created":"2026-02-03","cited_by_count":0,"area":null},{"id":"2602.04883","title":"Protein Autoregressive Modeling via Multiscale Structure Generation","created":"2026-02-04","cited_by_count":0,"area":null},{"id":"2605.26449","title":"Cross-scale Aligned Supervision for Training GANs","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.03923","title":"GeoMAR: Unleashing Geometrically Aligned Features for Masked Autoregressive Blind Face Restoration","created":"2026-08-04","cited_by_count":0,"area":null},{"id":"2608.25386","title":"Efficient Training with Foresight: Multi-Token Auxiliary Supervision for Autoregressive Image Generation","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2609.11804","title":"Logit Refiner: Improving Visual Autoregressive Models via Intra-Scale Dependency Modeling","created":"2026-09-10","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}],"next_cursor":null}