{"total":76,"rows":[{"id":"2512.13030","title":"Motus: A Unified Latent Action World Model","created":"2025-12-15","cited_by_count":251,"area":"wm"},{"id":"2506.15564","title":"Show-o2: Improved Native Unified Multimodal Models","created":"2025-06-18","cited_by_count":250,"area":"diffusion"},{"id":"2503.07265","title":"WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation","created":"2025-03-10","cited_by_count":204,"area":null},{"id":"2506.23918","title":"Thinking with Images for Multimodal Reasoning: Foundations, Methods, and Future Frontiers","created":"2025-06-30","cited_by_count":199,"area":"lr"},{"id":"2505.16933","title":"LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning","created":"2025-05-22","cited_by_count":148,"area":"mllm"},{"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":"2510.06308","title":"Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding","created":"2025-10-07","cited_by_count":88,"area":"diffusion"},{"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":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2503.21979","title":"Harmonizing Visual Representations for Unified Multimodal Understanding and Generation","created":"2025-03-27","cited_by_count":74,"area":null},{"id":"2505.23606","title":"Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model","created":"2025-05-29","cited_by_count":55,"area":"diffusion"},{"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":"2505.20147","title":"FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities","created":"2025-05-26","cited_by_count":46,"area":"mllm"},{"id":"2506.18898","title":"Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations","created":"2025-06-23","cited_by_count":44,"area":"mllm"},{"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":"2505.07538","title":"Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning","created":"2025-05-12","cited_by_count":33,"area":"lr"},{"id":"2505.24875","title":"ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL","created":"2025-05-30","cited_by_count":30,"area":"lr"},{"id":"2507.08801","title":"Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective","created":"2025-07-11","cited_by_count":22,"area":"diffusion"},{"id":"2510.13721","title":"NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching","created":"2025-10-15","cited_by_count":21,"area":"diffusion"},{"id":"2510.03506","title":"OneFlow: Concurrent Mixed-Modal and Interleaved Generation with Edit Flows","created":"2025-10-03","cited_by_count":17,"area":null},{"id":"2505.17534","title":"Co-Reinforcement Learning for Unified Multimodal Understanding and Generation","created":"2025-05-23","cited_by_count":15,"area":"lr"},{"id":"2505.23043","title":"Cross-Task Generalization Between Understanding and Generation in Unified Vision-Language Models: A Controlled Study","created":"2025-05-29","cited_by_count":15,"area":"mllm"},{"id":"2512.00975","title":"MM-ACT: Learn from Multimodal Parallel Generation to Act","created":"2025-11-30","cited_by_count":12,"area":"vla"},{"id":"2506.17202","title":"UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation","created":"2025-06-20","cited_by_count":11,"area":null},{"id":"2509.13789","title":"BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching","created":"2025-09-17","cited_by_count":11,"area":"diffusion"},{"id":"2510.05184","title":"Representation Potentials of Foundation Models for Multimodal Alignment: A Survey","created":"2025-10-05","cited_by_count":11,"area":null},{"id":"2603.01068","title":"LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model","created":"2026-03-01","cited_by_count":10,"area":"diffusion"},{"id":"2510.19871","title":"From Denoising to Refining: A Corrective Framework for Vision-Language Diffusion Model","created":"2025-10-22","cited_by_count":9,"area":"diffusion"},{"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":"2601.22155","title":"UEval: A Benchmark for Unified Multimodal Generation","created":"2026-01-29","cited_by_count":9,"area":"lr"},{"id":"2510.05097","title":"Pulp Motion: Framing-aware multimodal camera and human motion generation","created":"2025-10-06","cited_by_count":8,"area":null},{"id":"2512.04810","title":"EMMA: Efficient Multimodal Understanding, Generation, and Editing with a Unified Architecture","created":"2025-12-04","cited_by_count":8,"area":null},{"id":"2602.08336","title":"UReason: Benchmarking Reasoning-to-Generation Alignment in Unified Multimodal Models","created":"2026-02-09","cited_by_count":7,"area":null},{"id":"2502.03429","title":"On Fairness of Unified Multimodal Large Language Model for Image Generation","created":"2025-02-05","cited_by_count":6,"area":"mllm"},{"id":"2509.21912","title":"Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching","created":"2025-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2509.22925","title":"Soft-Di[M]O: Improving One-Step Discrete Image Generation with Soft Embeddings","created":"2025-09-26","cited_by_count":6,"area":"diffusion"},{"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":"2503.15457","title":"Di$\\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator","created":"2025-03-19","cited_by_count":5,"area":"diffusion"},{"id":"2505.19084","title":"Jodi: Unification of Visual Generation and Understanding via Joint Modeling","created":"2025-05-25","cited_by_count":5,"area":null},{"id":"2509.22522","title":"JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation","created":"2025-09-26","cited_by_count":5,"area":null},{"id":"2508.10494","title":"A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation","created":"2025-08-14","cited_by_count":4,"area":"diffusion"},{"id":"2601.08011","title":"TP-Blend: Textual-Prompt Attention Pairing for Precise Object-Style Blending in Diffusion Models","created":"2026-01-12","cited_by_count":4,"area":"diffusion"},{"id":"2602.06663","title":"PlanViz: Evaluating Planning-Oriented Image Generation and Editing for Computer-Use Tasks","created":"2026-02-06","cited_by_count":4,"area":"lr"},{"id":"2505.10999","title":"Conditioning Residuals for Diffusion Models via Representation Feedback","created":"2025-05-16","cited_by_count":3,"area":"diffusion"},{"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":"2506.09427","title":"A High-Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation","created":"2025-06-11","cited_by_count":3,"area":"mllm"},{"id":"2510.13253","title":"End-to-End Multi-Modal Diffusion Mamba","created":"2025-10-15","cited_by_count":3,"area":"ssm"},{"id":"2512.03404","title":"MOS: Mitigating Optical-SAR Modality Gap for Cross-Modal Ship Re-Identification","created":"2025-12-03","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":"2605.12309","title":"G$^2$TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models","created":"2026-05-12","cited_by_count":3,"area":"inference"},{"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":"2607.04423","title":"Transferability Between Understanding and Generation in Unified Multimodal Models","created":"2026-07-05","cited_by_count":3,"area":null},{"id":"2505.11158","title":"Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Review","created":"2025-05-16","cited_by_count":2,"area":"diffusion"},{"id":"2505.18775","title":"OmniGenBench: A Benchmark for Omnipotent Multimodal Generation across 50+ Tasks","created":"2025-05-24","cited_by_count":2,"area":"mllm"},{"id":"2603.22782","title":"Know3D: Prompting 3D Generation with Knowledge from Vision-Language Models","created":"2026-03-24","cited_by_count":2,"area":"mllm"},{"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":"2509.23760","title":"UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and Perception","created":"2025-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2510.23015","title":"Coupled Flow Matching","created":"2025-10-27","cited_by_count":1,"area":"diffusion"},{"id":"2510.25682","title":"PairUni: Pairwise Training for Unified Multimodal Language Models","created":"2025-10-29","cited_by_count":1,"area":"mllm"},{"id":"2601.00561","title":"AEGIS: Exploring the Limit of World Knowledge Capabilities for Unified Mulitmodal Models","created":"2026-01-02","cited_by_count":1,"area":null},{"id":"2603.14207","title":"DualTSR: Unified Dual-Diffusion Transformer for Scene Text Image Super-Resolution","created":"2026-03-15","cited_by_count":1,"area":"diffusion"},{"id":"2606.04939","title":"UAT: Unified Audio-Text Diffusion for Audio Generation, Editing, and Captioning","created":"2026-06-03","cited_by_count":1,"area":"diffusion"},{"id":"2606.30054","title":"Illuminating Unified Multimodal Model for Free-form Interleaved Text-Image Generation","created":"2026-06-29","cited_by_count":1,"area":null},{"id":"2609.38597","title":"PixelUMM: Encoder-Free Unified Image and Video Understanding and Generation","created":"2026-09-29","cited_by_count":1,"area":"mllm"},{"id":"2603.10702","title":"UniCom: Unified Multimodal Modeling via Compressed Continuous Semantic Representations","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.14241","title":"CamLit: Unified Video Diffusion with Explicit Camera and Lighting Control","created":"2026-03-15","cited_by_count":0,"area":"diffusion"},{"id":"2603.27690","title":"Customized Visual Storytelling with Unified Multimodal LLMs","created":"2026-03-29","cited_by_count":0,"area":"mllm"},{"id":"2603.29535","title":"Quantization with Unified Adaptive Distillation to enable multi-LoRA based one-for-all Generative Vision Models on edge","created":"2026-03-31","cited_by_count":0,"area":null},{"id":"2605.10127","title":"Fashion130K: An E-commerce Fashion Dataset for Outfit Generation with Unified Multi-modal Condition","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.04457","title":"Imagine Before You Draw: Visual Prompt Engineering for Image Generation","created":"2026-06-03","cited_by_count":0,"area":null},{"id":"2606.09169","title":"IMUG-Bench: Benchmarking Unified Multimodal Models on Interleaved Understanding and Generation","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.14792","title":"Efficient Reinforcement for Visual-Textual Thinking with Discrete Diffusion Model","created":"2026-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2607.25527","title":"Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.04525","title":"Coupled Continuous-Discrete Generation for Scene Text Image Super-Resolution","created":"2026-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2608.28603","title":"C3-UniMM: Causal Cycle-Consistent Unified Multimodal Modeling via Super Alignment and Shared Decoding Space","created":"2026-07-04","cited_by_count":0,"area":null},{"id":"2609.40362","title":"Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces","created":"2026-09-30","cited_by_count":0,"area":null}],"next_cursor":null}