{"total":68,"rows":[{"id":"2409.18869","title":"Emu3: Next-Token Prediction is All You Need","created":"2024-09-27","cited_by_count":781,"area":"diffusion"},{"id":"2409.11340","title":"OmniGen: Unified Image Generation","created":"2024-09-17","cited_by_count":394,"area":"diffusion"},{"id":"2505.15809","title":"MMaDA: Multimodal Large Diffusion Language Models","created":"2025-05-21","cited_by_count":250,"area":"diffusion"},{"id":"2506.15564","title":"Show-o2: Improved Native Unified Multimodal Models","created":"2025-06-18","cited_by_count":250,"area":"diffusion"},{"id":"2411.07975","title":"JanusFlow: Harmonizing Autoregression and Rectified Flow for Unified Multimodal Understanding and Generation","created":"2024-11-12","cited_by_count":163,"area":"diffusion"},{"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":"2412.03293","title":"Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning","created":"2024-12-04","cited_by_count":57,"area":"diffusion"},{"id":"2412.03487","title":"Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective","created":"2024-12-04","cited_by_count":57,"area":"diffusion"},{"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":"2601.16208","title":"Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders","created":"2026-01-22","cited_by_count":53,"area":"diffusion"},{"id":"2410.20280","title":"MarDini: Masked Autoregressive Diffusion for Video Generation at Scale","created":"2024-10-26","cited_by_count":49,"area":"diffusion"},{"id":"2503.20853","title":"Unified Multimodal Discrete Diffusion","created":"2025-03-26","cited_by_count":49,"area":"diffusion"},{"id":"2410.03355","title":"LANTERN: Accelerating Visual Autoregressive Models with Relaxed Speculative Decoding","created":"2024-10-04","cited_by_count":47,"area":"diffusion"},{"id":"2412.01169","title":"OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows","created":"2024-12-02","cited_by_count":46,"area":"diffusion"},{"id":"2412.07720","title":"ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer","created":"2024-12-10","cited_by_count":45,"area":"diffusion"},{"id":"2410.08184","title":"Scaling Laws For Diffusion Transformers","created":"2024-10-10","cited_by_count":44,"area":"diffusion"},{"id":"2411.16318","title":"One Diffusion to Generate Them All","created":"2024-11-25","cited_by_count":41,"area":"diffusion"},{"id":"2410.08159","title":"DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation","created":"2024-10-10","cited_by_count":32,"area":"diffusion"},{"id":"2410.04671","title":"CAR: Controllable Autoregressive Modeling for Visual Generation","created":"2024-10-07","cited_by_count":30,"area":"diffusion"},{"id":"2503.06132","title":"USP: Unified Self-Supervised Pretraining for Image Generation and Understanding","created":"2025-03-08","cited_by_count":24,"area":"diffusion"},{"id":"2503.11073","title":"Perceive, Understand and Restore: Real-World Image Super-Resolution with Autoregressive Multimodal Generative Models","created":"2025-03-14","cited_by_count":24,"area":"diffusion"},{"id":"2503.08250","title":"Aligning Text to Image in Diffusion Models is Easier Than You Think","created":"2025-03-11","cited_by_count":22,"area":"diffusion"},{"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":"2506.07903","title":"Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces","created":"2025-06-09","cited_by_count":21,"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":"2503.12652","title":"UniVG: A Generalist Diffusion Model for Unified Image Generation and Editing","created":"2025-03-16","cited_by_count":19,"area":"diffusion"},{"id":"2502.20172","title":"Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think","created":"2025-02-27","cited_by_count":18,"area":"diffusion"},{"id":"2507.01953","title":"FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model","created":"2025-07-02","cited_by_count":17,"area":"diffusion"},{"id":"2508.07747","title":"Grouped Speculative Decoding for Autoregressive Image Generation","created":"2025-08-11","cited_by_count":17,"area":"diffusion"},{"id":"2603.23500","title":"UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation","created":"2026-03-24","cited_by_count":13,"area":"diffusion"},{"id":"2412.06787","title":"[MASK] is All You Need","created":"2024-12-09","cited_by_count":11,"area":"diffusion"},{"id":"2506.10962","title":"SpectralAR: Spectral Autoregressive Visual Generation","created":"2025-06-12","cited_by_count":11,"area":"diffusion"},{"id":"2511.20520","title":"HBridge: H-Shape Bridging of Heterogeneous Experts for Unified Multimodal Understanding and Generation","created":"2025-11-25","cited_by_count":11,"area":"diffusion"},{"id":"2501.12976","title":"LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation","created":"2025-01-22","cited_by_count":10,"area":"diffusion"},{"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":"2412.04432","title":"Divot: Diffusion Powers Video Tokenizer for Comprehension and Generation","created":"2024-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2511.09611","title":"MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation","created":"2025-11-12","cited_by_count":8,"area":"diffusion"},{"id":"2505.18985","title":"STRICT: Stress Test of Rendering Images Containing Text","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2503.10125","title":"Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation","created":"2025-03-13","cited_by_count":6,"area":"diffusion"},{"id":"2507.13984","title":"CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models","created":"2025-07-18","cited_by_count":6,"area":"diffusion"},{"id":"2509.06579","title":"CausNVS: Autoregressive Multi-view Diffusion for Flexible 3D Novel View Synthesis","created":"2025-09-08","cited_by_count":6,"area":"diffusion"},{"id":"2509.21912","title":"Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching","created":"2025-09-26","cited_by_count":6,"area":"diffusion"},{"id":"2602.21472","title":"The Design Space of Tri-Modal Masked Diffusion Models","created":"2026-02-25","cited_by_count":6,"area":"diffusion"},{"id":"2407.10856","title":"Physics-Inspired Generative Models in Medical Imaging: A Review","created":"2024-07-15","cited_by_count":5,"area":"diffusion"},{"id":"2503.20198","title":"Beyond Words: Advancing Long-Text Image Generation via Multimodal Autoregressive Models","created":"2025-03-26","cited_by_count":5,"area":"diffusion"},{"id":"2505.12274","title":"Context-Aware Autoregressive Models for Multi-Conditional Image Generation","created":"2025-05-18","cited_by_count":5,"area":"diffusion"},{"id":"2605.07748","title":"TextLDM: Language Modeling with Continuous Latent Diffusion","created":"2026-05-08","cited_by_count":5,"area":"diffusion"},{"id":"2608.02602","title":"AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling","created":"2026-08-03","cited_by_count":5,"area":"diffusion"},{"id":"2510.01478","title":"Purrception: Variational Flow Matching for Vector-Quantized Image Generation","created":"2025-10-01","cited_by_count":4,"area":"diffusion"},{"id":"2512.07170","title":"Towards Unified Semantic and Controllable Image Fusion: A Diffusion Transformer Approach","created":"2025-12-08","cited_by_count":4,"area":"diffusion"},{"id":"2606.16255","title":"UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer","created":"2026-06-15","cited_by_count":4,"area":"diffusion"},{"id":"2509.20952","title":"Flow Matching in the Low-Noise Regime: Pathologies and a Contrastive Remedy","created":"2025-09-25","cited_by_count":3,"area":"diffusion"},{"id":"2511.12207","title":"Mixture of States: Routing Token-Level Dynamics for Multimodal Generation","created":"2025-11-15","cited_by_count":2,"area":"diffusion"},{"id":"2602.07564","title":"SIGMA: Selective-Interleaved Generation with Multi-Attribute Tokens","created":"2026-02-07","cited_by_count":2,"area":"diffusion"},{"id":"2604.08121","title":"Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator","created":"2026-04-09","cited_by_count":2,"area":"diffusion"},{"id":"2605.21981","title":"RiT: Vanilla Diffusion Transformers Suffice in Representation Space","created":"2026-05-21","cited_by_count":2,"area":"diffusion"},{"id":"2606.16408","title":"MUNI: Multimodal Unified Latent Diffusion for Coherent Any-to-Any Generation","created":"2026-06-15","cited_by_count":2,"area":"diffusion"},{"id":"2502.05415","title":"UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding","created":"2025-02-08","cited_by_count":1,"area":"diffusion"},{"id":"2510.06131","title":"Discrete Diffusion Models with MLLMs for Unified Medical Multimodal Generation","created":"2025-10-07","cited_by_count":1,"area":"diffusion"},{"id":"2512.10954","title":"Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration","created":"2025-12-11","cited_by_count":1,"area":"diffusion"},{"id":"2601.04056","title":"Bridging the Discrete-Continuous Gap: Unified Multimodal Generation via Coupled Manifold Discrete Absorbing Diffusion","created":"2026-01-07","cited_by_count":1,"area":"diffusion"},{"id":"2602.03448","title":"Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation","created":"2026-02-03","cited_by_count":1,"area":"diffusion"},{"id":"2603.19232","title":"Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens","created":"2026-03-19","cited_by_count":1,"area":"diffusion"},{"id":"2604.19902","title":"MMCORE: MultiModal COnnection with Representation Aligned Latent Embeddings","created":"2026-04-21","cited_by_count":1,"area":"diffusion"},{"id":"2607.22531","title":"Twins: Learn to Predict Unified Representations with Focal Loss","created":"2026-07-24","cited_by_count":1,"area":"diffusion"},{"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":"2606.23610","title":"Vera: A Layered Diffusion Model for Content-Preserving Video Editing","created":"2026-06-22","cited_by_count":0,"area":"diffusion"},{"id":"2608.29997","title":"Discrete Diffusion Bridges for Spatiotemporally Aligned Image Translation and Generation","created":"2026-08-30","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}