{"total":81,"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":"2505.05472","title":"Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation","created":"2025-05-08","cited_by_count":109,"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":"2502.20388","title":"Beyond Next-Token: Next-X Prediction for Autoregressive Visual Generation","created":"2025-02-27","cited_by_count":71,"area":null},{"id":"2412.10958","title":"SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer","created":"2024-12-14","cited_by_count":56,"area":null},{"id":"2503.13436","title":"Unified Autoregressive Visual Generation and Understanding with Continuous Tokens","created":"2025-03-17","cited_by_count":51,"area":null},{"id":"2501.07730","title":"Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens","created":"2025-01-13","cited_by_count":50,"area":null},{"id":"2508.10898","title":"Puppeteer: Rig and Animate Your 3D Models","created":"2025-08-14","cited_by_count":43,"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":"2412.18619","title":"Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey","created":"2024-12-16","cited_by_count":27,"area":null},{"id":"2503.05305","title":"Frequency Autoregressive Image Generation with Continuous Tokens","created":"2025-03-07","cited_by_count":27,"area":null},{"id":"2503.08685","title":"\"Principal Components\" Enable A New Language of Images","created":"2025-03-11","cited_by_count":27,"area":null},{"id":"2412.15321","title":"Next Patch Prediction for Autoregressive Visual Generation","created":"2024-12-19","cited_by_count":26,"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":"2507.08441","title":"Vision Foundation Models as Effective Visual Tokenizers for Autoregressive Image Generation","created":"2025-07-11","cited_by_count":21,"area":null},{"id":"2506.05289","title":"Towards Sequence Modeling Alignment between Tokenizer and Autoregressive Model","created":"2025-06-05","cited_by_count":20,"area":null},{"id":"2507.15856","title":"Latent Denoising Makes Good Tokenizers","created":"2025-07-21","cited_by_count":20,"area":null},{"id":"2504.17789","title":"Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models","created":"2025-04-24","cited_by_count":18,"area":null},{"id":"2505.10518","title":"Multi-Token Prediction Needs Registers","created":"2025-05-15","cited_by_count":16,"area":null},{"id":"2503.08686","title":"OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models","created":"2025-03-11","cited_by_count":12,"area":null},{"id":"2509.12474","title":"Image Tokenizer Needs Post-Training","created":"2025-09-15","cited_by_count":12,"area":null},{"id":"2510.09012","title":"Towards Better & Faster Autoregressive Image Generation: From the Perspective of Entropy","created":"2025-10-10","cited_by_count":12,"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":"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":"2503.17760","title":"CODA: Repurposing Continuous VAEs for Discrete Tokenization","created":"2025-03-22","cited_by_count":8,"area":null},{"id":"2503.16194","title":"Improving Autoregressive Image Generation through Coarse-to-Fine Token Prediction","created":"2025-03-20","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":"2512.10953","title":"Bidirectional Normalizing Flow: From Data to Noise and Back","created":"2025-12-11","cited_by_count":7,"area":null},{"id":"2512.14697","title":"Spherical Leech Quantization for Visual Tokenization and Generation","created":"2025-12-16","cited_by_count":6,"area":null},{"id":"2503.11129","title":"Direction-Aware Diagonal Autoregressive Image Generation","created":"2025-03-14","cited_by_count":5,"area":null},{"id":"2507.01792","title":"FreeLoRA: Enabling Training-Free LoRA Fusion for Autoregressive Multi-Subject Personalization","created":"2025-07-02","cited_by_count":5,"area":null},{"id":"2508.06044","title":"NEP: Autoregressive Image Editing via Next Editing Token Prediction","created":"2025-08-08","cited_by_count":5,"area":null},{"id":"2508.12811","title":"Next Visual Granularity Generation","created":"2025-08-18","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":"2603.06449","title":"CaTok: Taming Mean Flows for One-Dimensional Causal Image Tokenization","created":"2026-03-06","cited_by_count":5,"area":null},{"id":"2605.00503","title":"End-to-End Autoregressive Image Generation with 1D Semantic Tokenizer","created":"2026-05-01","cited_by_count":5,"area":null},{"id":"2601.21238","title":"PTQ4ARVG: Post-Training Quantization for AutoRegressive Visual Generation Models","created":"2026-01-29","cited_by_count":4,"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":"2603.15302","title":"Generative Video Compression with One-Dimensional Latent Representation","created":"2026-03-16","cited_by_count":4,"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":"2510.05891","title":"$\\bf{D^3}$QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection","created":"2025-10-07","cited_by_count":3,"area":null},{"id":"2606.01911","title":"Residual Decoder Adapter: ID-Preserving Tokenizer Adaption for Autoregressive Text Rendering","created":"2026-06-01","cited_by_count":3,"area":null},{"id":"2411.19037","title":"3D-WAG: Hierarchical Wavelet-Guided Autoregressive Generation for High-Fidelity 3D Shapes","created":"2024-11-28","cited_by_count":2,"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":"2510.00996","title":"SoftCFG: Uncertainty-guided Stable Guidance for Visual Autoregressive Model","created":"2025-10-01","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":"2512.21867","title":"DPAR: Dynamic Patchification for Efficient Autoregressive Visual Generation","created":"2025-12-26","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":"2603.16373","title":"Semantic One-Dimensional Tokenizer for Image Reconstruction and Generation","created":"2026-03-17","cited_by_count":2,"area":null},{"id":"2504.17069","title":"Distilling Specialized Orders for Visual Generation","created":"2025-04-23","cited_by_count":1,"area":null},{"id":"2509.00488","title":"Localizing and Mitigating Memorization in Image Autoregressive Models","created":"2025-08-30","cited_by_count":1,"area":null},{"id":"2510.06673","title":"Heptapod: Language Modeling on Visual Signals","created":"2025-10-08","cited_by_count":1,"area":null},{"id":"2511.16807","title":"Mesh RAG: Retrieval Augmentation for Autoregressive Mesh Generation","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2511.20068","title":"PRADA: Probability-Ratio-Based Attribution and Detection of Autoregressive-Generated Images","created":"2025-11-25","cited_by_count":1,"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":"2601.01593","title":"Beyond Patches: Global-aware Autoregressive Model for Multimodal Few-Shot Font Generation","created":"2026-01-04","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":"2602.03339","title":"Composable Visual Tokenizers with Generator-Free Diagnostics of Learnability","created":"2026-02-03","cited_by_count":1,"area":null},{"id":"2602.12100","title":"AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2603.25249","title":"Semantic-Aware Prefix Learning for Token-Efficient Image Generation","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2605.13179","title":"Does Engram Do Memory Retrieval in Autoregressive Image Generation?","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2605.16720","title":"Compositional Adversarial Training for Robust Visual Watermarking","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2605.18390","title":"Vision Foundation Models as Generalist Tokenizers for Image Generation","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2503.17155","title":"D2C: Unlocking the Potential of Continuous Autoregressive Image Generation with Discrete Tokens","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2510.13331","title":"Group-Wise Optimization for Self-Extensible Codebooks in Vector Quantized Models","created":"2025-10-15","cited_by_count":0,"area":null},{"id":"2511.12181","title":"MixAR: Mixture Autoregressive Image Generation","created":"2025-11-15","cited_by_count":0,"area":null},{"id":"2511.17089","title":"Spanning Tree Autoregressive Visual Generation","created":"2025-11-21","cited_by_count":0,"area":null},{"id":"2605.06207","title":"Taming the Entropy Cliff: Variable Codebook Size Quantization for Autoregressive Visual Generation","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2605.26089","title":"Channel-wise Vector Quantization","created":"2026-05-25","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":"2606.29282","title":"ScaleErasure: Inference-Time Minimal Intervention for Precise Concept Erasure in Next-Scale Autoregressive Image Generation","created":"2026-06-28","cited_by_count":0,"area":null},{"id":"2606.31991","title":"Anchored or Drifting: What Recursive Self-Generation Reveals About Training Data","created":"2026-06-30","cited_by_count":0,"area":null},{"id":"2607.09803","title":"Spectral Origins of the Self-Correction Blind Spot in Autoregressive Generation","created":"2026-07-09","cited_by_count":0,"area":null},{"id":"2607.09892","title":"Next-Dense-Stride Prediction for Multimodal Autoregressive Visual Modeling","created":"2026-07-10","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},{"id":"2609.36756","title":"NesTok: Nested Self-Aligned 1D Tokenizer for Autoregressive Image Generation","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.38485","title":"Beyond Layers: Position-Resolved Gradient Conflict and Position-Aware Modulation for Unified Multimodal Models","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2610.15297","title":"HGA-Quant: Heterogeneity-Aware Quantization for AutoRegressive Visual Generation Models","created":"2026-10-11","cited_by_count":0,"area":null}],"next_cursor":null}