{"total":225,"rows":[{"id":"2502.09992","title":"Large Language Diffusion Models","created":"2025-02-14","cited_by_count":912,"area":"diffusion"},{"id":"2501.12202","title":"Hunyuan3D 2.0: Scaling Diffusion Models for High Resolution Textured 3D Assets Generation","created":"2025-01-21","cited_by_count":356,"area":"diffusion"},{"id":"2505.19223","title":"LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models","created":"2025-05-25","cited_by_count":285,"area":"diffusion"},{"id":"2410.18514","title":"Scaling up Masked Diffusion Models on Text","created":"2024-10-24","cited_by_count":199,"area":"diffusion"},{"id":"2512.15745","title":"LLaDA2.0: Scaling Up Diffusion Language Models to 100B","created":"2025-12-10","cited_by_count":166,"area":"diffusion"},{"id":"2410.23775","title":"In-Context LoRA for Diffusion Transformers","created":"2024-10-31","cited_by_count":158,"area":"diffusion"},{"id":"2505.15781","title":"dKV-Cache: The Cache for Diffusion Language Models","created":"2025-05-21","cited_by_count":143,"area":"diffusion"},{"id":"2410.12761","title":"SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation","created":"2024-10-16","cited_by_count":133,"area":"diffusion"},{"id":"2510.06303","title":"SDAR: A Synergistic Diffusion-AutoRegression Paradigm for Scalable Sequence Generation","created":"2025-10-07","cited_by_count":129,"area":"diffusion"},{"id":"2508.09192","title":"Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing","created":"2025-08-08","cited_by_count":116,"area":"diffusion"},{"id":"2505.13389","title":"VSA: Faster Video Diffusion with Trainable Sparse Attention","created":"2025-05-19","cited_by_count":104,"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":"2409.11169","title":"MAISI: Medical AI for Synthetic Imaging","created":"2024-09-13","cited_by_count":87,"area":"diffusion"},{"id":"2503.09641","title":"SANA-Sprint: One-Step Diffusion with Continuous-Time Consistency Distillation","created":"2025-03-12","cited_by_count":87,"area":"diffusion"},{"id":"2412.15205","title":"FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching","created":"2024-12-19","cited_by_count":80,"area":"diffusion"},{"id":"2508.10875","title":"A Survey on Diffusion Language Models","created":"2025-08-14","cited_by_count":78,"area":"diffusion"},{"id":"2410.23054","title":"Controlling Language and Diffusion Models by Transporting Activations","created":"2024-10-30","cited_by_count":68,"area":"diffusion"},{"id":"2412.03859","title":"CreatiLayout: Siamese Multimodal Diffusion Transformer for Creative Layout-to-Image Generation","created":"2024-12-05","cited_by_count":60,"area":"diffusion"},{"id":"2509.24389","title":"LLaDA-MoE: A Sparse MoE Diffusion Language Model","created":"2025-09-29","cited_by_count":57,"area":"diffusion"},{"id":"2410.00086","title":"ACE: All-round Creator and Editor Following Instructions via Diffusion Transformer","created":"2024-09-30","cited_by_count":56,"area":"diffusion"},{"id":"2506.09018","title":"Edit Flows: Flow Matching with Edit Operations","created":"2025-06-10","cited_by_count":55,"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":"2511.03276","title":"Diffusion Language Models are Super Data Learners","created":"2025-11-05","cited_by_count":48,"area":"diffusion"},{"id":"2502.00234","title":"Fast Solvers for Discrete Diffusion Models: Theory and Applications of High-Order Algorithms","created":"2025-02-01","cited_by_count":47,"area":"diffusion"},{"id":"2410.08184","title":"Scaling Laws For Diffusion Transformers","created":"2024-10-10","cited_by_count":44,"area":"diffusion"},{"id":"2412.09856","title":"LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity","created":"2024-12-13","cited_by_count":43,"area":"diffusion"},{"id":"2412.15159","title":"OnlineVPO: Align Video Diffusion Model with Online Video-Centric Preference Optimization","created":"2024-12-19","cited_by_count":41,"area":"diffusion"},{"id":"2502.18924","title":"MegaTTS 3: Sparse Alignment Enhanced Latent Diffusion Transformer for Zero-Shot Speech Synthesis","created":"2025-02-26","cited_by_count":41,"area":"diffusion"},{"id":"2506.14429","title":"LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs","created":"2025-06-17","cited_by_count":40,"area":"diffusion"},{"id":"2502.17157","title":"DICEPTION: A Generalist Diffusion Model for Visual Perceptual Tasks","created":"2025-02-24","cited_by_count":39,"area":"diffusion"},{"id":"2502.01051","title":"Diffusion Model as a Noise-Aware Latent Reward Model for Step-Level Preference Optimization","created":"2025-02-03","cited_by_count":37,"area":"diffusion"},{"id":"2509.23653","title":"Don't Settle Too Early: Self-Reflective Remasking for Diffusion Language Models","created":"2025-09-28","cited_by_count":37,"area":"diffusion"},{"id":"2510.08666","title":"dInfer: An Efficient Inference Framework for Diffusion Language Models","created":"2025-10-09","cited_by_count":37,"area":"diffusion"},{"id":"2409.07253","title":"Alignment of Diffusion Models: Fundamentals, Challenges, and Future","created":"2024-09-11","cited_by_count":35,"area":"diffusion"},{"id":"2512.10858","title":"Scaling Behavior of Discrete Diffusion Language Models","created":"2025-12-11","cited_by_count":35,"area":"diffusion"},{"id":"2506.19037","title":"Plan for Speed: Dilated Scheduling for Masked Diffusion Language Models","created":"2025-06-23","cited_by_count":34,"area":"diffusion"},{"id":"2512.14067","title":"Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed","created":"2025-12-16","cited_by_count":33,"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":"2412.12095","title":"Causal Diffusion Transformers for Generative Modeling","created":"2024-12-16","cited_by_count":31,"area":"diffusion"},{"id":"2410.22376","title":"Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance","created":"2024-10-29","cited_by_count":30,"area":"diffusion"},{"id":"2512.09106","title":"Learning Unmasking Policies for Diffusion Language Models","created":"2025-12-09","cited_by_count":30,"area":"diffusion"},{"id":"2412.15213","title":"Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution","created":"2024-12-19","cited_by_count":26,"area":"diffusion"},{"id":"2510.24711","title":"Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance","created":"2025-10-28","cited_by_count":26,"area":"diffusion"},{"id":"2412.15156","title":"Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM","created":"2024-12-19","cited_by_count":25,"area":"diffusion"},{"id":"2510.03280","title":"Training Optimal Large Diffusion Language Models","created":"2025-09-28","cited_by_count":25,"area":"diffusion"},{"id":"2504.11651","title":"70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11)","created":"2025-04-15","cited_by_count":24,"area":"diffusion"},{"id":"2510.22852","title":"Encoder-Decoder Diffusion Language Models for Efficient Training and Inference","created":"2025-10-26","cited_by_count":24,"area":"diffusion"},{"id":"2410.15027","title":"Group Diffusion Transformers are Unsupervised Multitask Learners","created":"2024-10-19","cited_by_count":22,"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":"2505.14708","title":"DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance","created":"2025-05-17","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":"2410.05664","title":"Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning","created":"2024-10-08","cited_by_count":21,"area":"diffusion"},{"id":"2511.19269","title":"CDLM: Consistency Diffusion Language Models For Faster Sampling","created":"2025-11-24","cited_by_count":21,"area":"diffusion"},{"id":"2409.18336","title":"DeBaRA: Denoising-Based 3D Room Arrangement Generation","created":"2024-09-26","cited_by_count":20,"area":"diffusion"},{"id":"2411.17470","title":"Towards Precise Scaling Laws for Video Diffusion Transformers","created":"2024-11-25","cited_by_count":20,"area":"diffusion"},{"id":"2505.02417","title":"T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models","created":"2025-05-05","cited_by_count":20,"area":"diffusion"},{"id":"2505.08281","title":"Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-aware Diffusion","created":"2025-05-13","cited_by_count":20,"area":"diffusion"},{"id":"2506.00290","title":"DLM-One: Diffusion Language Models for One-Step Sequence Generation","created":"2025-05-30","cited_by_count":20,"area":"diffusion"},{"id":"2508.13021","title":"Empirical Analysis of Decoding Biases in Masked Diffusion Models","created":"2025-08-18","cited_by_count":19,"area":"diffusion"},{"id":"2509.24007","title":"Sequential Diffusion Language Models","created":"2025-09-28","cited_by_count":19,"area":"diffusion"},{"id":"2512.13586","title":"ReFusion: A Diffusion Large Language Model with Parallel Autoregressive Decoding","created":"2025-12-15","cited_by_count":18,"area":"diffusion"},{"id":"2604.08302","title":"DMax: Aggressive Parallel Decoding for dLLMs","created":"2026-04-09","cited_by_count":18,"area":"diffusion"},{"id":"2509.20624","title":"FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models","created":"2025-09-24","cited_by_count":17,"area":"diffusion"},{"id":"2509.23924","title":"Taming Masked Diffusion Language Models via Consistency Trajectory Reinforcement Learning with Fewer Decoding Step","created":"2025-09-28","cited_by_count":17,"area":"diffusion"},{"id":"2410.05167","title":"Presto! Distilling Steps and Layers for Accelerating Music Generation","created":"2024-10-07","cited_by_count":16,"area":"diffusion"},{"id":"2412.11706","title":"AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration","created":"2024-12-16","cited_by_count":16,"area":"diffusion"},{"id":"2505.10046","title":"Exploring the Deep Fusion of Large Language Models and Diffusion Transformers for Text-to-Image Synthesis","created":"2025-05-15","cited_by_count":16,"area":"diffusion"},{"id":"2505.17550","title":"T2VUnlearning: A Concept Erasing Method for Text-to-Video Diffusion Models","created":"2025-05-23","cited_by_count":16,"area":"diffusion"},{"id":"2512.06112","title":"WAM-Flow: Parallel Coarse-to-Fine Motion Planning via Discrete Flow Matching for Autonomous Driving","created":"2025-12-05","cited_by_count":16,"area":"diffusion"},{"id":"2505.13344","title":"RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers","created":"2025-05-19","cited_by_count":14,"area":"diffusion"},{"id":"2602.22661","title":"dLLM: Simple Diffusion Language Modeling","created":"2026-02-26","cited_by_count":14,"area":"diffusion"},{"id":"2606.25331","title":"Improved Large Language Diffusion Models","created":"2026-06-24","cited_by_count":14,"area":"diffusion"},{"id":"2410.08531","title":"Diffusion Models Need Visual Priors for Image Generation","created":"2024-10-11","cited_by_count":13,"area":"diffusion"},{"id":"2501.05450","title":"Decentralized Diffusion Models","created":"2025-01-09","cited_by_count":13,"area":"diffusion"},{"id":"2502.02088","title":"Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation","created":"2025-02-04","cited_by_count":13,"area":"diffusion"},{"id":"2505.04522","title":"Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model","created":"2025-05-07","cited_by_count":13,"area":"diffusion"},{"id":"2510.18165","title":"Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model","created":"2025-10-20","cited_by_count":13,"area":"diffusion"},{"id":"2510.21961","title":"Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing","created":"2025-10-24","cited_by_count":13,"area":"diffusion"},{"id":"2602.08068","title":"ReRoPE: Repurposing RoPE for Relative Camera Control","created":"2026-02-08","cited_by_count":13,"area":"diffusion"},{"id":"2602.11590","title":"Learn from Your Mistakes: Self-Correcting Masked Diffusion Models","created":"2026-02-12","cited_by_count":13,"area":"diffusion"},{"id":"2512.11715","title":"EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing","created":"2025-12-12","cited_by_count":12,"area":"diffusion"},{"id":"2502.00500","title":"Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation","created":"2025-02-01","cited_by_count":11,"area":"diffusion"},{"id":"2409.17308","title":"Consistent estimation of generative model representations in the data kernel perspective space","created":"2024-09-25","cited_by_count":10,"area":"diffusion"},{"id":"2410.21759","title":"IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models","created":"2024-10-29","cited_by_count":10,"area":"diffusion"},{"id":"2411.08017","title":"Wavelet Latent Diffusion (Wala): Billion-Parameter 3D Generative Model with Compact Wavelet Encodings","created":"2024-11-12","cited_by_count":10,"area":"diffusion"},{"id":"2505.08622","title":"Visually Guided Decoding: Gradient-Free Hard Prompt Inversion with Language Models","created":"2025-05-13","cited_by_count":10,"area":"diffusion"},{"id":"2510.00565","title":"Toward Safer Diffusion Language Models: Discovery and Mitigation of Priming Vulnerability","created":"2025-10-01","cited_by_count":10,"area":"diffusion"},{"id":"2510.04525","title":"Demystifying MaskGIT Sampler and Beyond: Adaptive Order Selection in Masked Diffusion","created":"2025-10-06","cited_by_count":10,"area":"diffusion"},{"id":"2510.18480","title":"How Efficient Are Diffusion Language Models? A Critical Examination of Efficiency Evaluation Practices","created":"2025-10-21","cited_by_count":10,"area":"diffusion"},{"id":"2409.04005","title":"Qihoo-T2X: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Any-Task","created":"2024-09-06","cited_by_count":9,"area":"diffusion"},{"id":"2412.17522","title":"DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak","created":"2024-12-23","cited_by_count":9,"area":"diffusion"},{"id":"2504.19669","title":"Multimodal Conditioned Diffusive Time Series Forecasting","created":"2025-04-28","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":"2509.16842","title":"DoubleGen: Debiased Generative Modeling of Counterfactuals","created":"2025-09-20","cited_by_count":9,"area":"diffusion"},{"id":"2509.23286","title":"A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models","created":"2025-09-27","cited_by_count":9,"area":"diffusion"},{"id":"2512.24143","title":"Activation Steering for Masked Diffusion Language Models","created":"2025-12-30","cited_by_count":9,"area":"diffusion"},{"id":"2606.00487","title":"TAPS: Target-Aware Prefix Tree Selection for Diffusion-Drafted Speculative Decoding","created":"2026-05-30","cited_by_count":9,"area":"diffusion"},{"id":"2411.02322","title":"LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation","created":"2024-11-04","cited_by_count":8,"area":"diffusion"},{"id":"2506.07280","title":"From Generation to Generalization: Emergent Few-Shot Learning in Video Diffusion Models","created":"2025-06-08","cited_by_count":8,"area":"diffusion"},{"id":"2506.11144","title":"AlignHuman: Improving Motion and Fidelity via Timestep-Segment Preference Optimization for Audio-Driven Human Animation","created":"2025-06-11","cited_by_count":8,"area":"diffusion"}],"next_cursor":"100"}