{"total":54,"rows":[{"id":"2410.13848","title":"Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation","created":"2024-10-17","cited_by_count":457,"area":null},{"id":"2404.14396","title":"SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation","created":"2024-04-22","cited_by_count":331,"area":null},{"id":"2312.17172","title":"Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision, Language, Audio, and Action","created":"2023-12-28","cited_by_count":302,"area":null},{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2504.06256","title":"Transfer between Modalities with MetaQueries","created":"2025-04-08","cited_by_count":236,"area":null},{"id":"2412.14164","title":"MetaMorph: Multimodal Understanding and Generation via Instruction Tuning","created":"2024-12-18","cited_by_count":206,"area":null},{"id":"2310.01218","title":"Making LLaMA SEE and Draw with SEED Tokenizer","created":"2023-10-02","cited_by_count":185,"area":null},{"id":"2502.20321","title":"UniTok: A Unified Tokenizer for Visual Generation and Understanding","created":"2025-02-27","cited_by_count":153,"area":null},{"id":"2407.06358","title":"MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions","created":"2024-07-08","cited_by_count":146,"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":"2407.08683","title":"SEED-Story: Multimodal Long Story Generation with Large Language Model","created":"2024-07-11","cited_by_count":73,"area":null},{"id":"2504.01017","title":"Scaling Language-Free Visual Representation Learning","created":"2025-04-01","cited_by_count":66,"area":null},{"id":"2412.04332","title":"Liquid: Language Models are Scalable and Unified Multi-modal Generators","created":"2024-12-05","cited_by_count":63,"area":null},{"id":"2504.08736","title":"GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation","created":"2025-04-11","cited_by_count":57,"area":null},{"id":"2412.10958","title":"SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer","created":"2024-12-14","cited_by_count":56,"area":null},{"id":"2505.14671","title":"UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens","created":"2025-05-20","cited_by_count":56,"area":null},{"id":"2504.04423","title":"UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding","created":"2025-04-06","cited_by_count":49,"area":null},{"id":"2312.09251","title":"VL-GPT: A Generative Pre-trained Transformer for Vision and Language Understanding and Generation","created":"2023-12-14","cited_by_count":41,"area":null},{"id":"2405.19334","title":"LLMs Meet Multimodal Generation and Editing: A Survey","created":"2024-05-29","cited_by_count":35,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2311.16081","title":"ViT-Lens: Towards Omni-modal Representations","created":"2023-11-27","cited_by_count":29,"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":"2503.08685","title":"\"Principal Components\" Enable A New Language of Images","created":"2025-03-11","cited_by_count":27,"area":null},{"id":"2312.02252","title":"StoryGPT-V: Large Language Models as Consistent Story Visualizers","created":"2023-12-04","cited_by_count":25,"area":null},{"id":"2409.17692","title":"MIO: A Foundation Model on Multimodal Tokens","created":"2024-09-26","cited_by_count":24,"area":null},{"id":"2509.26625","title":"Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training","created":"2025-09-30","cited_by_count":23,"area":null},{"id":"2412.16326","title":"When Worse is Better: Navigating the compression-generation tradeoff in visual tokenization","created":"2024-12-20","cited_by_count":15,"area":null},{"id":"2410.13790","title":"MotionBank: A Large-scale Video Motion Benchmark with Disentangled Rule-based Annotations","created":"2024-10-17","cited_by_count":14,"area":null},{"id":"2409.00342","title":"AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation","created":"2024-08-31","cited_by_count":13,"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":"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":"2309.00359","title":"Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior","created":"2023-09-01","cited_by_count":9,"area":null},{"id":"2411.06959","title":"ENAT: Rethinking Spatial-temporal Interactions in Token-based Image Synthesis","created":"2024-11-11","cited_by_count":8,"area":null},{"id":"2503.17760","title":"CODA: Repurposing Continuous VAEs for Discrete Tokenization","created":"2025-03-22","cited_by_count":8,"area":null},{"id":"2503.01115","title":"WeGen: A Unified Model for Interactive Multimodal Generation as We Chat","created":"2025-03-03","cited_by_count":7,"area":null},{"id":"2510.08994","title":"Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation","created":"2025-10-10","cited_by_count":7,"area":null},{"id":"2311.16201","title":"Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation","created":"2023-11-27","cited_by_count":6,"area":null},{"id":"2604.12887","title":"VideoFlexTok: Flexible-Length Coarse-to-Fine Video Tokenization","created":"2026-04-14","cited_by_count":6,"area":null},{"id":"2402.16021","title":"TMT: Tri-Modal Translation between Speech, Image, and Text by Processing Different Modalities as Different Languages","created":"2024-02-25","cited_by_count":5,"area":null},{"id":"2503.20318","title":"EditCLIP: Representation Learning for Image Editing","created":"2025-03-26","cited_by_count":5,"area":null},{"id":"2506.21022","title":"Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation","created":"2025-06-26","cited_by_count":5,"area":null},{"id":"2601.03955","title":"ResTok: Learning Hierarchical Residuals in 1D Visual Tokenizers for Autoregressive Image Generation","created":"2026-01-07","cited_by_count":5,"area":null},{"id":"2412.06646","title":"The Narrow Gate: Localized Image-Text Communication in Native Multimodal Models","created":"2024-12-09","cited_by_count":4,"area":null},{"id":"2608.05000","title":"Towards Physics of Multimodal Pretraining: Knowledge Flow, Modality Synergy, Early Unification, and Recipes","created":"2026-08-05","cited_by_count":3,"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":"2601.17761","title":"AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation","created":"2026-01-25","cited_by_count":2,"area":null},{"id":"2603.24690","title":"UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy","created":"2026-03-25","cited_by_count":2,"area":null},{"id":"2509.21150","title":"CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenization","created":"2025-09-25","cited_by_count":1,"area":null},{"id":"2511.01593","title":"Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2601.04706","title":"Forge-and-Quench: Enhancing Image Generation for Higher Fidelity in Unified Multimodal Models","created":"2026-01-08","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":"2603.25645","title":"Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2605.10445","title":"Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning","created":"2026-05-11","cited_by_count":0,"area":null}],"next_cursor":null}