{"total":98,"rows":[{"id":"2411.19108","title":"Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model","created":"2024-11-28","cited_by_count":269,"area":"diffusion"},{"id":"2410.10733","title":"Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models","created":"2024-10-14","cited_by_count":217,"area":"diffusion"},{"id":"2502.01776","title":"Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity","created":"2025-02-03","cited_by_count":217,"area":"diffusion"},{"id":"2411.05007","title":"SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models","created":"2024-11-07","cited_by_count":170,"area":"diffusion"},{"id":"2408.12588","title":"Real-Time Video Generation with Pyramid Attention Broadcast","created":"2024-08-22","cited_by_count":149,"area":null},{"id":"2406.01733","title":"Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching","created":"2024-06-03","cited_by_count":142,"area":"diffusion"},{"id":"2503.16428","title":"XAttention: Block Sparse Attention with Antidiagonal Scoring","created":"2025-03-20","cited_by_count":137,"area":null},{"id":"2505.18875","title":"Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation","created":"2025-05-24","cited_by_count":106,"area":"diffusion"},{"id":"2502.21079","title":"Training-free and Adaptive Sparse Attention for Efficient Long Video Generation","created":"2025-02-28","cited_by_count":69,"area":"diffusion"},{"id":"2506.19852","title":"Radial Attention: $O(n\\log n)$ Sparse Attention with Energy Decay for Long Video Generation","created":"2025-06-24","cited_by_count":69,"area":"diffusion"},{"id":"2411.01738","title":"xDiT: an Inference Engine for Diffusion Transformers (DiTs) with Massive Parallelism","created":"2024-11-04","cited_by_count":56,"area":"diffusion"},{"id":"2409.02097","title":"LinFusion: 1 GPU, 1 Minute, 16K Image","created":"2024-09-03","cited_by_count":43,"area":"diffusion"},{"id":"2506.23858","title":"VMoBA: Mixture-of-Block Attention for Video Diffusion Models","created":"2025-06-30","cited_by_count":37,"area":"diffusion"},{"id":"2502.15734","title":"Cache-Craft: Managing Chunk-Caches for Efficient Retrieval-Augmented Generation","created":"2025-02-05","cited_by_count":36,"area":"rag"},{"id":"2502.06805","title":"Efficient Diffusion Models: A Survey","created":"2025-02-03","cited_by_count":35,"area":"diffusion"},{"id":"2411.17787","title":"Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient","created":"2024-11-26","cited_by_count":33,"area":null},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2501.05370","title":"Accelerated Diffusion Models via Speculative Sampling","created":"2025-01-09","cited_by_count":31,"area":"diffusion"},{"id":"2406.16260","title":"Video-Infinity: Distributed Long Video Generation","created":"2024-06-24","cited_by_count":30,"area":"diffusion"},{"id":"2511.07399","title":"StreamDiffusionV2: A Streaming System for Dynamic and Interactive Video Generation","created":"2025-11-10","cited_by_count":30,"area":"diffusion"},{"id":"2405.14430","title":"PipeFusion: Patch-level Pipeline Parallelism for Diffusion Transformers Inference","created":"2024-05-23","cited_by_count":28,"area":"diffusion"},{"id":"2412.16112","title":"CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up","created":"2024-12-20","cited_by_count":28,"area":"diffusion"},{"id":"2404.08926","title":"Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives","created":"2024-04-13","cited_by_count":27,"area":"diffusion"},{"id":"2502.06155","title":"Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile","created":"2025-02-10","cited_by_count":26,"area":"diffusion"},{"id":"2406.06911","title":"AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising","created":"2024-06-11","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":"2409.05033","title":"A Survey on Diffusion Models for Recommender Systems","created":"2024-09-08","cited_by_count":20,"area":"diffusion"},{"id":"2506.04648","title":"FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion","created":"2025-06-05","cited_by_count":19,"area":"diffusion"},{"id":"2502.00433","title":"CAT Pruning: Cluster-Aware Token Pruning For Text-to-Image Diffusion Models","created":"2025-02-01","cited_by_count":16,"area":"diffusion"},{"id":"2510.19755","title":"A Survey on Cache Methods in Diffusion Models: Toward Efficient Multi-Modal Generation","created":"2025-10-22","cited_by_count":16,"area":"diffusion"},{"id":"2406.07251","title":"Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models","created":"2024-06-11","cited_by_count":14,"area":null},{"id":"2410.09873","title":"Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy","created":"2024-10-13","cited_by_count":14,"area":"diffusion"},{"id":"2503.01323","title":"CacheQuant: Comprehensively Accelerated Diffusion Models","created":"2025-03-03","cited_by_count":13,"area":"diffusion"},{"id":"2507.14797","title":"Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models","created":"2025-07-20","cited_by_count":13,"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":"2505.19367","title":"Adaptive Diffusion Guidance via Stochastic Optimal Control","created":"2025-05-25","cited_by_count":10,"area":"diffusion"},{"id":"2505.22918","title":"Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape","created":"2025-05-28","cited_by_count":10,"area":"diffusion"},{"id":"2511.00090","title":"LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation","created":"2025-10-30","cited_by_count":10,"area":"diffusion"},{"id":"2601.19961","title":"MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference","created":"2026-01-27","cited_by_count":10,"area":"diffusion"},{"id":"2603.08982","title":"SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing","created":"2026-03-09","cited_by_count":10,"area":"diffusion"},{"id":"2509.25180","title":"DC-Gen: Post-Training Diffusion Acceleration with Deeply Compressed Latent Space","created":"2025-09-29","cited_by_count":8,"area":"diffusion"},{"id":"2505.19151","title":"SRDiffusion: Accelerate Video Diffusion Inference via Sketching-Rendering Cooperation","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2412.07435","title":"Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models","created":"2024-12-10","cited_by_count":6,"area":"diffusion"},{"id":"2508.17756","title":"SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling","created":"2025-08-25","cited_by_count":6,"area":"diffusion"},{"id":"2605.23445","title":"DFSAttn: Dynamic Fine-grained Sparse Attention for Efficient Video Generation","created":"2026-05-22","cited_by_count":6,"area":"diffusion"},{"id":"2608.16887","title":"An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models","created":"2026-08-17","cited_by_count":6,"area":"diffusion"},{"id":"2407.02031","title":"SwiftDiffusion: Efficient Diffusion Model Serving with Add-on Modules","created":"2024-07-02","cited_by_count":5,"area":"diffusion"},{"id":"2411.04967","title":"AsCAN: Asymmetric Convolution-Attention Networks for Efficient Recognition and Generation","created":"2024-11-07","cited_by_count":5,"area":null},{"id":"2501.04012","title":"FlexCache: Flexible Approximate Cache System for Video Diffusion","created":"2024-12-18","cited_by_count":5,"area":"diffusion"},{"id":"2505.21960","title":"One-Way Ticket:Time-Independent Unified Encoder for Distilling Text-to-Image Diffusion Models","created":"2025-05-28","cited_by_count":5,"area":"diffusion"},{"id":"2508.06160","title":"Fewer Denoising Steps or Cheaper Per-Step Inference: Towards Compute-Optimal Diffusion Model Deployment","created":"2025-08-08","cited_by_count":5,"area":"diffusion"},{"id":"2603.28489","title":"Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms","created":"2026-03-30","cited_by_count":5,"area":"wm"},{"id":"2501.12381","title":"Parallel Sequence Modeling via Generalized Spatial Propagation Network","created":"2025-01-21","cited_by_count":4,"area":null},{"id":"2511.06250","title":"Test-Time Iterative Error Correction for Efficient Diffusion Models","created":"2025-11-09","cited_by_count":4,"area":"diffusion"},{"id":"2412.02962","title":"Partially Conditioned Patch Parallelism for Accelerated Diffusion Model Inference","created":"2024-12-04","cited_by_count":3,"area":"diffusion"},{"id":"2504.14267","title":"Text-Audio-Visual-conditioned Diffusion Model for Video Saliency Prediction","created":"2025-04-19","cited_by_count":3,"area":"diffusion"},{"id":"2506.18419","title":"Generative Diffusion Receivers: Achieving Pilot-Efficient MIMO-OFDM Communications","created":"2025-06-23","cited_by_count":3,"area":"diffusion"},{"id":"2511.23113","title":"db-SP: Accelerating Sparse Attention for Visual Generative Models with Dual-Balanced Sequence Parallelism","created":"2025-11-28","cited_by_count":3,"area":"diffusion"},{"id":"2512.22796","title":"Parallel Diffusion Solver via Residual Dirichlet Policy Optimization","created":"2025-12-28","cited_by_count":3,"area":"diffusion"},{"id":"2601.00644","title":"FlexSpec: Frozen Drafts Meet Evolving Targets in Edge-Cloud Collaborative LLM Speculative Decoding","created":"2026-01-02","cited_by_count":3,"area":"inference"},{"id":"2601.12283","title":"SDiT: Semantic Region-Adaptive for Diffusion Transformers","created":"2026-01-18","cited_by_count":3,"area":"diffusion"},{"id":"2411.07619","title":"Artificial Intelligence for Biomedical Video Generation","created":"2024-11-12","cited_by_count":2,"area":null},{"id":"2505.01823","title":"PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach","created":"2025-05-03","cited_by_count":2,"area":null},{"id":"2505.14741","title":"Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism","created":"2025-05-20","cited_by_count":2,"area":"diffusion"},{"id":"2506.08796","title":"Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling","created":"2025-06-10","cited_by_count":2,"area":"diffusion"},{"id":"2507.17511","title":"Accelerating Parallel Diffusion Model Serving with Residual Compression","created":"2025-07-23","cited_by_count":2,"area":"diffusion"},{"id":"2510.06295","title":"Efficient High-Resolution Image Editing with Hallucination-Aware Loss and Adaptive Tiling","created":"2025-10-07","cited_by_count":2,"area":null},{"id":"2601.20273","title":"SwiftFusion: Scalable Sequence Parallelism for Distributed Inference of Diffusion Transformers on GPUs","created":"2026-01-28","cited_by_count":2,"area":"diffusion"},{"id":"2603.07815","title":"HybridStitch: Pixel and Timestep Level Model Stitching for Diffusion Acceleration","created":"2026-03-08","cited_by_count":2,"area":"diffusion"},{"id":"2605.09503","title":"PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models","created":"2026-05-10","cited_by_count":2,"area":"diffusion"},{"id":"2605.18346","title":"Focused Forcing: Content-Aware Per-Frame KV Selection for Efficient Autoregressive Video Diffusion","created":"2026-05-18","cited_by_count":2,"area":"diffusion"},{"id":"2606.09516","title":"SwiftVR: Real-Time One-Step Generative Video Restoration","created":"2026-06-08","cited_by_count":2,"area":null},{"id":"2606.13426","title":"Accelerating Speculative Diffusions via Block Verification","created":"2026-06-11","cited_by_count":2,"area":"inference"},{"id":"2606.30557","title":"EcoVideo: Entropy-Orchestrated Video Generation Paradigm in Cloud-Edge Dynamics","created":"2026-06-29","cited_by_count":2,"area":null},{"id":"2609.15810","title":"VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention","created":"2026-09-14","cited_by_count":2,"area":"diffusion"},{"id":"2411.16786","title":"Staleness-Centric Optimizations for Parallel Diffusion MoE Inference","created":"2024-11-25","cited_by_count":1,"area":"moe"},{"id":"2412.17632","title":"D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized and Natural Images through Multimodal Guidance","created":"2024-12-23","cited_by_count":1,"area":null},{"id":"2509.04719","title":"Spatio-Temporal Parallelism for Diffusion Model Inference on Heterogeneous Multi-GPU Systems","created":"2025-09-05","cited_by_count":1,"area":"diffusion"},{"id":"2511.12056","title":"PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling","created":"2025-11-15","cited_by_count":1,"area":"diffusion"},{"id":"2511.22009","title":"StreamFlow: Theory, Algorithm, and Implementation for High-Efficiency Rectified Flow Generation","created":"2025-11-27","cited_by_count":1,"area":"diffusion"},{"id":"2602.00608","title":"Scalable Generative Game Engine: Breaking the Resolution Wall via Hardware-Algorithm Co-Design","created":"2026-01-31","cited_by_count":1,"area":"wm"},{"id":"2603.06741","title":"Heterogeneous Decentralized Diffusion Models","created":"2026-03-06","cited_by_count":1,"area":"diffusion"},{"id":"2608.01740","title":"Disagree to Accelerate: Closing the Loop on Diffusion Feature Forecasts","created":"2026-08-03","cited_by_count":1,"area":"diffusion"},{"id":"2609.20744","title":"Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation","created":"2026-09-17","cited_by_count":1,"area":"diffusion"},{"id":"2408.02710","title":"RCDM: Enabling Robustness for Conditional Diffusion Model","created":"2024-08-05","cited_by_count":0,"area":"diffusion"},{"id":"2409.09072","title":"Joint Model Assignment and Resource Allocation for Cost-Effective Mobile Generative Services","created":"2024-09-09","cited_by_count":0,"area":null},{"id":"2411.08642","title":"Towards More Accurate Fake Detection on Images Generated from Advanced Generative and Neural Rendering Models","created":"2024-11-13","cited_by_count":0,"area":"diffusion"},{"id":"2509.09560","title":"Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution","created":"2025-09-11","cited_by_count":0,"area":null},{"id":"2512.24026","title":"PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing","created":"2025-12-30","cited_by_count":0,"area":"diffusion"},{"id":"2602.21760","title":"Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling","created":"2026-02-25","cited_by_count":0,"area":"diffusion"},{"id":"2605.11335","title":"ChunkFlow: Communication-Aware Chunked Prefetching for Layerwise Offloading in Distributed Diffusion Transformer Inference","created":"2026-05-11","cited_by_count":0,"area":"diffusion"},{"id":"2606.05981","title":"Inverting the Streaming-Diffusion Bottleneck: Video-Rate MLLM-Conditioned Edit Diffusion on a Consumer GPU","created":"2026-06-04","cited_by_count":0,"area":"distill"},{"id":"2606.17566","title":"AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion Transformers","created":"2026-06-16","cited_by_count":0,"area":"diffusion"},{"id":"2607.12121","title":"FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving","created":"2026-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2607.20545","title":"StrideDiffusion: Accelerating Diffusion Models for Time-series Generation","created":"2026-07-13","cited_by_count":0,"area":"diffusion"},{"id":"2607.26566","title":"ServerlessT2I: Efficient Text-to-Image Workflow Serving on a Serverless Platform","created":"2026-07-29","cited_by_count":0,"area":null},{"id":"2608.03335","title":"SPADE: An Input-Adaptive Sparse Attention Engine for Fast Video Diffusion Models Inference","created":"2026-08-04","cited_by_count":0,"area":"diffusion"},{"id":"2609.32540","title":"In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion","created":"2026-09-26","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}