{"total":118,"rows":[{"id":"2505.14683","title":"Emerging Properties in Unified Multimodal Pretraining","created":"2025-05-20","cited_by_count":897,"area":null},{"id":"2506.18871","title":"OmniGen2: Towards Instruction-Aligned Multimodal Generation","created":"2025-06-23","cited_by_count":253,"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":"2505.05472","title":"Mogao: An Omni Foundation Model for Interleaved Multi-Modal Generation","created":"2025-05-08","cited_by_count":109,"area":null},{"id":"2508.09987","title":"Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation","created":"2025-08-13","cited_by_count":100,"area":null},{"id":"2510.08377","title":"UniVideo: Unified Understanding, Generation, and Editing for Videos","created":"2025-10-09","cited_by_count":87,"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":"2503.21979","title":"Harmonizing Visual Representations for Unified Multimodal Understanding and Generation","created":"2025-03-27","cited_by_count":74,"area":null},{"id":"2506.09344","title":"Ming-Omni: A Unified Multimodal Model for Perception and Generation","created":"2025-06-11","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":"2504.02782","title":"GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation","created":"2025-04-03","cited_by_count":58,"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":"2509.20360","title":"EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning","created":"2025-09-24","cited_by_count":54,"area":null},{"id":"2505.05422","title":"TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation","created":"2025-05-08","cited_by_count":51,"area":null},{"id":"2509.07295","title":"Reconstruction Alignment Improves Unified Multimodal Models","created":"2025-09-08","cited_by_count":49,"area":null},{"id":"2505.23661","title":"OpenUni: A Simple Baseline for Unified Multimodal Understanding and Generation","created":"2025-05-29","cited_by_count":46,"area":null},{"id":"2507.23278","title":"UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing","created":"2025-07-31","cited_by_count":44,"area":null},{"id":"2503.14324","title":"DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies","created":"2025-03-18","cited_by_count":42,"area":null},{"id":"2509.06945","title":"Interleaving Reasoning for Better Text-to-Image Generation","created":"2025-09-08","cited_by_count":41,"area":null},{"id":"2512.02014","title":"TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models","created":"2025-12-01","cited_by_count":34,"area":null},{"id":"2510.06590","title":"Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer","created":"2025-10-08","cited_by_count":28,"area":null},{"id":"2412.15321","title":"Next Patch Prediction for Autoregressive Visual Generation","created":"2024-12-19","cited_by_count":26,"area":null},{"id":"2510.10575","title":"UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation","created":"2025-10-12","cited_by_count":23,"area":null},{"id":"2512.19693","title":"The Prism Hypothesis: Harmonizing Semantic and Pixel Representations via Unified Autoencoding","created":"2025-12-22","cited_by_count":22,"area":null},{"id":"2503.06764","title":"SemHiTok: A Unified Image Tokenizer via Semantic-Guided Hierarchical Codebook for Multimodal Understanding and Generation","created":"2025-03-09","cited_by_count":21,"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":"2505.21473","title":"DetailFlow: 1D Coarse-to-Fine Autoregressive Image Generation via Next-Detail Prediction","created":"2025-05-27","cited_by_count":18,"area":null},{"id":"2604.24763","title":"Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation","created":"2026-04-27","cited_by_count":18,"area":null},{"id":"2508.03320","title":"Skywork UniPic: Unified Autoregressive Modeling for Visual Understanding and Generation","created":"2025-08-05","cited_by_count":17,"area":null},{"id":"2502.04397","title":"Multimodal Medical Code Tokenizer","created":"2025-02-06","cited_by_count":14,"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":"2505.02471","title":"Ming-Lite-Uni: Advancements in Unified Architecture for Natural Multimodal Interaction","created":"2025-05-05","cited_by_count":13,"area":null},{"id":"2505.18142","title":"TokBench: Evaluating Your Visual Tokenizer before Visual Generation","created":"2025-05-23","cited_by_count":13,"area":null},{"id":"2506.02975","title":"HaploOmni: Unified Single Transformer for Multimodal Video Understanding and Generation","created":"2025-06-03","cited_by_count":13,"area":null},{"id":"2507.04947","title":"DC-AR: Efficient Masked Autoregressive Image Generation with Deep Compression Hybrid Tokenizer","created":"2025-07-07","cited_by_count":13,"area":null},{"id":"2509.09666","title":"Unified Multimodal Models as Auto-Encoders","created":"2025-09-11","cited_by_count":13,"area":null},{"id":"2509.18824","title":"Hyper-Bagel: A Unified Acceleration Framework for Multimodal Understanding and Generation","created":"2025-09-23","cited_by_count":13,"area":null},{"id":"2512.16920","title":"EasyV2V: A High-quality Instruction-based Video Editing Framework","created":"2025-12-18","cited_by_count":13,"area":null},{"id":"2412.10443","title":"SweetTok: Semantic-Aware Spatial-Temporal Tokenizer for Compact Video Discretization","created":"2024-12-11","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":"2602.02140","title":"Quantifying the Gap between Understanding and Generation within Unified Multimodal Models","created":"2026-02-02","cited_by_count":12,"area":null},{"id":"2605.18678","title":"Lance: Unified Multimodal Modeling by Multi-Task Synergy","created":"2026-05-18","cited_by_count":12,"area":null},{"id":"2505.19535","title":"TDVE-Assessor: Benchmarking and Evaluating the Quality of Text-Driven Video Editing with LMMs","created":"2025-05-26","cited_by_count":11,"area":null},{"id":"2505.03798","title":"Position: Foundation Models Need Digital Twin Representations","created":"2025-05-01","cited_by_count":10,"area":null},{"id":"2511.23386","title":"VQRAE: Representation Quantization Autoencoders for Multimodal Understanding, Generation and Reconstruction","created":"2025-11-28","cited_by_count":10,"area":null},{"id":"2508.05599","title":"WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction","created":"2025-08-07","cited_by_count":9,"area":null},{"id":"2511.19413","title":"UniGame: Turning a Unified Multimodal Model Into Its Own Adversary","created":"2025-11-24","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":"2512.06065","title":"EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing","created":"2025-12-05","cited_by_count":8,"area":null},{"id":"2603.19228","title":"SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing","created":"2026-03-19","cited_by_count":8,"area":null},{"id":"2603.12267","title":"EVATok: Adaptive Length Video Tokenization for Efficient Visual Autoregressive Generation","created":"2026-03-12","cited_by_count":7,"area":null},{"id":"2603.12829","title":"coDrawAgents: A Multi-Agent Dialogue Framework for Compositional Image Generation","created":"2026-03-13","cited_by_count":7,"area":null},{"id":"2512.03125","title":"Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models","created":"2025-12-02","cited_by_count":6,"area":null},{"id":"2601.01535","title":"Improving Flexible Image Tokenizers for Autoregressive Image Generation","created":"2026-01-04","cited_by_count":6,"area":null},{"id":"2606.30599","title":"Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing","created":"2026-06-29","cited_by_count":6,"area":null},{"id":"2503.08120","title":"UniF$^2$ace: A Unified Fine-grained Face Understanding and Generation Model","created":"2025-03-11","cited_by_count":5,"area":null},{"id":"2505.10562","title":"End-to-End Vision Tokenizer Tuning","created":"2025-05-15","cited_by_count":5,"area":null},{"id":"2509.21760","title":"UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models","created":"2025-09-26","cited_by_count":5,"area":null},{"id":"2512.07702","title":"Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment","created":"2025-12-08","cited_by_count":5,"area":null},{"id":"2601.01720","title":"FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing","created":"2026-01-05","cited_by_count":5,"area":null},{"id":"2601.15369","title":"OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation","created":"2026-01-21","cited_by_count":5,"area":null},{"id":"2603.25706","title":"Wan-Weaver: Interleaved Multi-modal Generation via Decoupled Training","created":"2026-03-26","cited_by_count":5,"area":null},{"id":"2606.31451","title":"UniTac: A Unified Multimodal Model for Cross-Sensor Tactile Understanding and Generation","created":"2026-06-30","cited_by_count":5,"area":null},{"id":"2601.16210","title":"PyraTok: Language-Aligned Pyramidal Tokenizer for Video Understanding and Generation","created":"2026-01-22","cited_by_count":4,"area":null},{"id":"2605.04569","title":"LIVEditor-14B: Lightning Unified Video Editing via In-Context Sparse Attention","created":"2026-05-06","cited_by_count":4,"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":"2606.18249","title":"Unified Multimodal Autoregressive Modeling with Shared Context-Visual Tokenizer is Key to Unification","created":"2026-06-16","cited_by_count":4,"area":null},{"id":"2503.08377","title":"Layton: Latent Consistency Tokenizer for 1024-pixel Image Reconstruction and Generation by 256 Tokens","created":"2025-03-11","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":"2602.06442","title":"ChatUMM: Robust Context Tracking for Conversational Interleaved Generation","created":"2026-02-06","cited_by_count":3,"area":null},{"id":"2604.21904","title":"UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection","created":"2026-04-23","cited_by_count":3,"area":null},{"id":"2605.05646","title":"MUSE: Resolving Manifold Misalignment in Visual Tokenization via Topological Orthogonality","created":"2026-05-07","cited_by_count":3,"area":null},{"id":"2605.14709","title":"Breaking Dual Bottlenecks: Evolving Unified Multimodal Models into Self-Adaptive Interleaved Visual Reasoners","created":"2026-05-14","cited_by_count":3,"area":null},{"id":"2507.06137","title":"NeoBabel: A Multilingual Open Tower for Visual Generation","created":"2025-07-08","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":"2511.23199","title":"Vision Bridge Transformer at Scale","created":"2025-11-28","cited_by_count":2,"area":null},{"id":"2512.16483","title":"FasterVAR: Plug-and-Play Acceleration for Visual Autoregressive Models","created":"2025-12-18","cited_by_count":2,"area":null},{"id":"2601.02256","title":"VAR RL Done Right: Tackling Asynchronous Policy Conflicts in Visual Autoregressive Generation","created":"2026-01-05","cited_by_count":2,"area":null},{"id":"2601.20742","title":"Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification","created":"2026-01-28","cited_by_count":2,"area":null},{"id":"2603.15228","title":"HYDRA: Representation Harmonized Tokenization for Multimodal Generation and Understanding","created":"2026-03-16","cited_by_count":2,"area":null},{"id":"2604.21926","title":"Seeing Without Eyes: 4D Human-Scene Understanding from Wearable IMUs","created":"2026-04-23","cited_by_count":2,"area":null},{"id":"2606.13289","title":"HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers","created":"2026-06-11","cited_by_count":2,"area":null},{"id":"2606.26984","title":"Unison: Benchmarking Unified Multimodal Models via Synergistic Understanding and Generation","created":"2026-06-25","cited_by_count":2,"area":null},{"id":"2506.16738","title":"LM-SPT: LM-Aligned Semantic Distillation for Speech Tokenization","created":"2025-06-20","cited_by_count":1,"area":null},{"id":"2509.01071","title":"A Unified Low-level Foundation Model for Enhancing Pathology Image Quality","created":"2025-09-01","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":"2511.01593","title":"Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation","created":"2025-11-03","cited_by_count":1,"area":null},{"id":"2602.05534","title":"SSG: Scaled Spatial Guidance for Multi-Scale Visual Autoregressive Generation","created":"2026-02-05","cited_by_count":1,"area":null},{"id":"2603.07540","title":"How Long Can Unified Multimodal Models Generate Images Reliably? Taming Long-Horizon Interleaved Image Generation via Context Curation","created":"2026-03-08","cited_by_count":1,"area":null},{"id":"2604.25636","title":"Refinement via Regeneration: Enlarging Modification Space Boosts Image Refinement in Unified Multimodal Models","created":"2026-04-28","cited_by_count":1,"area":null},{"id":"2605.13452","title":"CUBic: Coordinated Unified Bimanual Perception and Control Framework","created":"2026-05-13","cited_by_count":1,"area":null},{"id":"2605.16961","title":"Latent Action Control for Reasoning-Guided Unified Image Generation","created":"2026-05-16","cited_by_count":1,"area":null},{"id":"2605.18115","title":"WinTok: A Win-Win Hybrid Tokenizer via Decomposing Visual Understanding and Generation with Transferable Tokens","created":"2026-05-18","cited_by_count":1,"area":null},{"id":"2608.08676","title":"UniSpace: Unified Visual Representation and Scalable Multimodal Modeling","created":"2026-08-09","cited_by_count":1,"area":null},{"id":"2505.18465","title":"BiomechGPT: Extending Motion-Language Models to Clinical Motion Understanding","created":"2025-05-24","cited_by_count":0,"area":null},{"id":"2507.15386","title":"Learning to Gridize: Segment Physical World by Wireless Communication Channel","created":"2025-07-21","cited_by_count":0,"area":null},{"id":"2512.07747","title":"Unison: A Fully Automatic, Task-Universal, and Low-Cost Framework for Unified Understanding and Generation","created":"2025-12-08","cited_by_count":0,"area":null},{"id":"2601.04563","title":"A Vision for Multisensory Intelligence: Sensing, Science, and Synergy","created":"2026-01-08","cited_by_count":0,"area":null},{"id":"2603.04980","title":"A Simple Baseline for Unifying Understanding, Generation, and Editing via Vanilla Next-token Prediction","created":"2026-03-05","cited_by_count":0,"area":null},{"id":"2603.10702","title":"UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations","created":"2026-03-11","cited_by_count":0,"area":null}],"next_cursor":"100"}