{"total":131,"rows":[{"id":"2506.15742","title":"FLUX.1 Kontext: Flow Matching for In-Context Image Generation and Editing in Latent Space","created":"2025-06-17","cited_by_count":1006,"area":"diffusion"},{"id":"2507.04447","title":"DreamVLA: A Vision-Language-Action Model Dreamed with Comprehensive World Knowledge","created":"2025-07-06","cited_by_count":213,"area":"vla"},{"id":"2509.23951","title":"HunyuanImage 3.0 Technical Report","created":"2025-09-28","cited_by_count":149,"area":"moe"},{"id":"2504.07954","title":"Perception-R1: Pioneering Perception Policy with Reinforcement Learning","created":"2025-04-10","cited_by_count":120,"area":"lr"},{"id":"2506.03135","title":"OmniSpatial: Towards Comprehensive Spatial Reasoning Benchmark for Vision Language Models","created":"2025-06-03","cited_by_count":114,"area":"lr"},{"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":"2505.20292","title":"OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation","created":"2025-05-26","cited_by_count":73,"area":null},{"id":"2504.04907","title":"Video-Bench: Human-Aligned Video Generation Benchmark","created":"2025-04-07","cited_by_count":57,"area":"alignment"},{"id":"2508.10711","title":"NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale","created":"2025-08-14","cited_by_count":57,"area":"diffusion"},{"id":"2506.21416","title":"XVerse: Consistent Multi-Subject Control of Identity and Semantic Attributes via DiT Modulation","created":"2025-06-26","cited_by_count":56,"area":"diffusion"},{"id":"2501.12224","title":"TokenVerse: Versatile Multi-concept Personalization in Token Modulation Space","created":"2025-01-21","cited_by_count":52,"area":"diffusion"},{"id":"2512.16853","title":"GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation","created":"2025-12-18","cited_by_count":52,"area":null},{"id":"2410.09732","title":"LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal Models","created":"2024-10-13","cited_by_count":51,"area":"mllm"},{"id":"2411.18616","title":"Diffusion Self-Distillation for Zero-Shot Customized Image Generation","created":"2024-11-27","cited_by_count":47,"area":"diffusion"},{"id":"2502.13143","title":"SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation","created":"2025-02-18","cited_by_count":46,"area":"lr"},{"id":"2503.19312","title":"ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning","created":"2025-03-25","cited_by_count":37,"area":"lr"},{"id":"2409.07253","title":"Alignment of Diffusion Models: Fundamentals, Challenges, and Future","created":"2024-09-11","cited_by_count":35,"area":"diffusion"},{"id":"2502.12081","title":"Unhackable Temporal Rewarding for Scalable Video MLLMs","created":"2025-02-17","cited_by_count":33,"area":null},{"id":"2407.11965","title":"UrbanWorld: An Urban World Model for 3D City Generation","created":"2024-07-16","cited_by_count":24,"area":"wm"},{"id":"2408.14765","title":"CrossViewDiff: A Cross-View Diffusion Model for Satellite-to-Street View Synthesis","created":"2024-08-27","cited_by_count":23,"area":"diffusion"},{"id":"2502.09411","title":"ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation","created":"2025-02-13","cited_by_count":21,"area":"diffusion"},{"id":"2412.14580","title":"DiffSim: Taming Diffusion Models for Evaluating Visual Similarity","created":"2024-12-19","cited_by_count":20,"area":"diffusion"},{"id":"2502.13081","title":"Personalized Image Generation with Deep Generative Models: A Decade Survey","created":"2025-02-18","cited_by_count":20,"area":null},{"id":"2512.16899","title":"Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image","created":"2025-12-18","cited_by_count":20,"area":"alignment"},{"id":"2412.05148","title":"LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation","created":"2024-12-06","cited_by_count":19,"area":null},{"id":"2510.11000","title":"ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation","created":"2025-10-13","cited_by_count":18,"area":"diffusion"},{"id":"2505.19415","title":"MMIG-Bench: Towards Comprehensive and Explainable Evaluation of Multi-Modal Image Generation Models","created":"2025-05-26","cited_by_count":17,"area":null},{"id":"2506.18851","title":"Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset","created":"2025-06-23","cited_by_count":17,"area":null},{"id":"2408.11567","title":"Positional Prompt Tuning for Efficient 3D Representation Learning","created":"2024-08-21","cited_by_count":15,"area":null},{"id":"2504.07046","title":"A Unified Agentic Framework for Evaluating Conditional Image Generation","created":"2025-04-09","cited_by_count":15,"area":"agents"},{"id":"2412.04300","title":"T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts","created":"2024-12-05","cited_by_count":14,"area":null},{"id":"2411.17261","title":"HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator","created":"2024-11-26","cited_by_count":13,"area":null},{"id":"2504.02612","title":"Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation","created":"2025-04-03","cited_by_count":13,"area":null},{"id":"2504.07165","title":"Perception in Reflection","created":"2025-04-09","cited_by_count":13,"area":"mllm"},{"id":"2505.18612","title":"Mod-Adapter: Tuning-Free and Versatile Multi-concept Personalization via Modulation Adapter","created":"2025-05-24","cited_by_count":13,"area":"moe"},{"id":"2506.18369","title":"RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models","created":"2025-06-23","cited_by_count":13,"area":"mllm"},{"id":"2509.09666","title":"Unified Multimodal Models as Auto-Encoders","created":"2025-09-11","cited_by_count":13,"area":null},{"id":"2410.13287","title":"PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs","created":"2024-10-17","cited_by_count":12,"area":null},{"id":"2502.05240","title":"Survey on AI-Generated Media Detection: From Non-MLLM to MLLM","created":"2025-02-07","cited_by_count":12,"area":null},{"id":"2502.10458","title":"I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models","created":"2025-02-12","cited_by_count":12,"area":"lr"},{"id":"2503.06884","title":"Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help","created":"2025-03-10","cited_by_count":12,"area":"diffusion"},{"id":"2512.12675","title":"Scone: Bridging Composition and Distinction in Subject-Driven Image Generation via Unified Understanding-Generation Modeling","created":"2025-12-14","cited_by_count":10,"area":null},{"id":"2412.17644","title":"DreamFit: Garment-Centric Human Generation via a Lightweight Anything-Dressing Encoder","created":"2024-12-23","cited_by_count":9,"area":"diffusion"},{"id":"2507.05259","title":"Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing","created":"2025-07-07","cited_by_count":9,"area":"diffusion"},{"id":"2507.16302","title":"Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning","created":"2025-07-22","cited_by_count":9,"area":"diffusion"},{"id":"2503.06568","title":"Conceptrol: Concept Control of Zero-shot Personalized Image Generation","created":"2025-03-09","cited_by_count":8,"area":"diffusion"},{"id":"2503.14275","title":"Free-Lunch Color-Texture Disentanglement for Stylized Image Generation","created":"2025-03-18","cited_by_count":8,"area":"diffusion"},{"id":"2503.15406","title":"Visual Persona: Foundation Model for Full-Body Human Customization","created":"2025-03-19","cited_by_count":7,"area":"diffusion"},{"id":"2508.00477","title":"LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer","created":"2025-08-01","cited_by_count":7,"area":"diffusion"},{"id":"2603.27862","title":"ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks","created":"2026-03-29","cited_by_count":7,"area":null},{"id":"2606.11670","title":"ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation","created":"2026-06-10","cited_by_count":7,"area":null},{"id":"2607.07907","title":"Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks","created":"2026-07-08","cited_by_count":7,"area":"safety"},{"id":"2503.17482","title":"What's Producible May Not Be Reachable: Measuring the Steerability of Generative Models","created":"2025-03-21","cited_by_count":6,"area":null},{"id":"2507.13984","title":"CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models","created":"2025-07-18","cited_by_count":6,"area":"diffusion"},{"id":"2509.21989","title":"Mind-the-Glitch: Visual Correspondence for Detecting Inconsistencies in Subject-Driven Generation","created":"2025-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2510.22521","title":"Open Multimodal Retrieval-Augmented Factual Image Generation","created":"2025-10-26","cited_by_count":6,"area":"mllm"},{"id":"2601.08881","title":"TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts","created":"2026-01-12","cited_by_count":6,"area":"diffusion"},{"id":"2602.03425","title":"ConsistentRFT: Reducing Visual Hallucinations in Flow-based Reinforcement Fine-Tuning","created":"2026-02-03","cited_by_count":6,"area":"deeprl"},{"id":"2505.24862","title":"ViStoryBench: Comprehensive Benchmark Suite for Story Visualization","created":"2025-05-30","cited_by_count":5,"area":null},{"id":"2511.20614","title":"The Consistency Critic: Correcting Inconsistencies in Generated Images via Reference-Guided Attentive Alignment","created":"2025-11-25","cited_by_count":5,"area":null},{"id":"2512.19271","title":"3SGen: Unified Subject, Style, and Structure-Driven Image Generation with Adaptive Task-specific Memory","created":"2025-12-22","cited_by_count":5,"area":null},{"id":"2602.15727","title":"Spanning the Visual Analogy Space with a Weight Basis of LoRAs","created":"2026-02-17","cited_by_count":5,"area":null},{"id":"2604.28185","title":"Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling","created":"2026-04-30","cited_by_count":5,"area":"wm"},{"id":"2510.18263","title":"From Competition to Synergy: Unlocking Reinforcement Learning for Subject-Driven Image Generation","created":"2025-10-21","cited_by_count":4,"area":"deeprl"},{"id":"2511.08087","title":"Beyond the Pixels: VLM-based Evaluation of Identity Preservation in Reference-Guided Synthesis","created":"2025-11-11","cited_by_count":4,"area":null},{"id":"2512.10955","title":"Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization","created":"2025-12-11","cited_by_count":4,"area":null},{"id":"2603.17989","title":"Versatile Editing of Video Content, Actions, and Dynamics without Training","created":"2026-03-18","cited_by_count":4,"area":null},{"id":"2604.24023","title":"ServImage: An Image Generation and Editing Benchmark from Real-world Commercial Imaging Services","created":"2026-04-27","cited_by_count":4,"area":null},{"id":"2605.30090","title":"DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation","created":"2026-05-28","cited_by_count":4,"area":"agents"},{"id":"2502.19930","title":"Identity-preserving Distillation Sampling by Fixed-Point Iterator","created":"2025-02-27","cited_by_count":3,"area":null},{"id":"2504.07405","title":"FlexIP: Dynamic Control of Preservation and Personality for Customized Image Generation","created":"2025-04-10","cited_by_count":3,"area":null},{"id":"2504.17502","title":"RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation","created":"2025-04-24","cited_by_count":3,"area":null},{"id":"2507.15249","title":"FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers","created":"2025-07-21","cited_by_count":3,"area":"diffusion"},{"id":"2509.26127","title":"EchoGen: Generating Visual Echoes in Any Scene via Feed-Forward Subject-Driven Auto-Regressive Model","created":"2025-09-30","cited_by_count":3,"area":null},{"id":"2603.08090","title":"DSH-Bench: A Difficulty- and Scenario-Aware Benchmark with Hierarchical Subject Taxonomy for Subject-Driven Text-to-Image Generation","created":"2026-03-09","cited_by_count":3,"area":null},{"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":"2510.05660","title":"Teleportraits: Training-Free People Insertion into Any Scene","created":"2025-10-07","cited_by_count":2,"area":"diffusion"},{"id":"2510.16136","title":"GuideFlow3D: Optimization-Guided Rectified Flow For Appearance Transfer","created":"2025-10-17","cited_by_count":2,"area":"diffusion"},{"id":"2510.23605","title":"Track, Inpaint, Resplat: Subject-driven 3D and 4D Generation with Progressive Texture Infilling","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2512.19026","title":"Finer-Personalization Rank: Fine-Grained Retrieval Examines Identity Preservation for Personalized Generation","created":"2025-12-22","cited_by_count":2,"area":null},{"id":"2601.02356","title":"Talk2Move: Reinforcement Learning for Text-Instructed Object-Level Geometric Transformation in Scenes","created":"2026-01-05","cited_by_count":2,"area":"deeprl"},{"id":"2603.28493","title":"ConceptWeaver: Weaving Disentangled Concepts with Flow","created":"2026-03-30","cited_by_count":2,"area":null},{"id":"2605.12167","title":"From Imagined Futures to Executable Actions: Mixture of Latent Actions for Robot Manipulation","created":"2026-05-12","cited_by_count":2,"area":null},{"id":"2605.12305","title":"Images in Sentences: Scaling Interleaved Instructions for Unified Visual Generation","created":"2026-05-12","cited_by_count":2,"area":"mllm"},{"id":"2605.13974","title":"Few Channels Draw The Whole Picture: Revealing Massive Activations in Diffusion Transformers","created":"2026-05-13","cited_by_count":2,"area":"diffusion"},{"id":"2605.28806","title":"Personal Visual Memory from Explicit and Implicit Evidence","created":"2026-05-27","cited_by_count":2,"area":null},{"id":"2607.01383","title":"MIBE: Multi-subject Interaction Benchmark and Evaluator for Personalized Image Generation","created":"2026-07-01","cited_by_count":2,"area":null},{"id":"2607.16742","title":"Multi-Dimensional Quality Assessment for AI-Generated Human-Centric Videos: Dataset and Model","created":"2026-07-18","cited_by_count":2,"area":"moe"},{"id":"2503.14501","title":"Advances in 4D Generation: A Survey","created":"2025-03-18","cited_by_count":1,"area":null},{"id":"2505.16875","title":"T2I-ConBench: Text-to-Image Benchmark for Continual Post-training","created":"2025-05-22","cited_by_count":1,"area":"diffusion"},{"id":"2509.03385","title":"Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation","created":"2025-09-03","cited_by_count":1,"area":"alignment"},{"id":"2509.22793","title":"DEFT: Decompositional Efficient Fine-Tuning for Text-to-Image Models","created":"2025-09-26","cited_by_count":1,"area":null},{"id":"2510.13316","title":"Visual Interestingness Decoded: How GPT-4o Mirrors Human Interests","created":"2025-10-15","cited_by_count":1,"area":null},{"id":"2511.08061","title":"Taming Identity Consistency and Prompt Diversity in Diffusion Models via Latent Concatenation and Masked Conditional Flow Matching","created":"2025-11-11","cited_by_count":1,"area":"diffusion"},{"id":"2512.01686","title":"DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models","created":"2025-12-01","cited_by_count":1,"area":null},{"id":"2512.08477","title":"ContextDrag: Precise Drag-Based Image Editing via Context-Preserving Token Injection and Position-Aligned Attention","created":"2025-12-09","cited_by_count":1,"area":null},{"id":"2512.09814","title":"Dynamic Image Prompt Adapter for Scalable Zero-shot Personalized Text-to-Image Generation","created":"2025-12-10","cited_by_count":1,"area":null},{"id":"2601.20511","title":"Say Cheese! Detail-Preserving Portrait Collection Generation via Natural Language Edits","created":"2026-01-28","cited_by_count":1,"area":null},{"id":"2602.00267","title":"PLACID: Identity-Preserving Multi-Object Compositing via Video Diffusion with Synthetic Trajectories","created":"2026-01-30","cited_by_count":1,"area":"diffusion"},{"id":"2602.21402","title":"FlowFixer: Towards Detail-Preserving Subject-Driven Generation","created":"2026-02-24","cited_by_count":1,"area":null}],"next_cursor":"100"}