{"total":42,"rows":[{"id":"2509.22007","title":"Stage-wise Dynamics of Classifier-Free Guidance in Diffusion Models","created":"2025-09-26","cited_by_count":16,"area":"diffusion"},{"id":"2510.20766","title":"DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion","created":"2025-10-23","cited_by_count":14,"area":"diffusion"},{"id":"2512.04504","title":"UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers","created":"2025-12-04","cited_by_count":12,"area":"diffusion"},{"id":"2605.30409","title":"SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer","created":"2026-05-28","cited_by_count":11,"area":"diffusion"},{"id":"2511.22249","title":"Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective","created":"2025-11-27","cited_by_count":10,"area":"diffusion"},{"id":"2605.12013","title":"L2P: Unlocking Latent Potential for Pixel Generation","created":"2026-05-12","cited_by_count":9,"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":"2505.19261","title":"Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2511.18050","title":"UltraFlux: Data-Model Co-Design for High-quality Native 4K Text-to-Image Generation across Diverse Aspect Ratios","created":"2025-11-22","cited_by_count":6,"area":"diffusion"},{"id":"2603.22125","title":"DA-VAE: Plug-in Latent Compression for Diffusion via Detail Alignment","created":"2026-03-23","cited_by_count":6,"area":"diffusion"},{"id":"2506.01331","title":"Ultra-High-Resolution Image Synthesis: Data, Method and Evaluation","created":"2025-06-02","cited_by_count":5,"area":"diffusion"},{"id":"2601.05212","title":"FlowLet: Conditional 3D Brain MRI Synthesis using Wavelet Flow Matching","created":"2026-01-08","cited_by_count":5,"area":"diffusion"},{"id":"2604.12163","title":"Nucleus-Image: Sparse MoE for Image Generation","created":"2026-04-14","cited_by_count":5,"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":"2603.23491","title":"Foveated Diffusion: Efficient Spatially Adaptive Image and Video Generation","created":"2026-03-24","cited_by_count":4,"area":"diffusion"},{"id":"2509.24142","title":"Asymmetric VAE for One-Step Video Super-Resolution Acceleration","created":"2025-09-29","cited_by_count":3,"area":"diffusion"},{"id":"2510.16325","title":"UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention","created":"2025-10-18","cited_by_count":3,"area":"diffusion"},{"id":"2605.22668","title":"SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers","created":"2026-05-21","cited_by_count":3,"area":"diffusion"},{"id":"2605.29809","title":"Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing","created":"2026-05-28","cited_by_count":3,"area":"diffusion"},{"id":"2511.19778","title":"Phase-Aligned RoPE for Mixed-Resolution Diffusion Transformer","created":"2025-11-24","cited_by_count":2,"area":"diffusion"},{"id":"2603.06275","title":"Spectral and Trajectory Regularization for Diffusion Transformer Super-Resolution","created":"2026-03-06","cited_by_count":2,"area":"diffusion"},{"id":"2511.20390","title":"FREE: Uncertainty-Aware Autoregression for Parallel Diffusion Transformers","created":"2025-11-25","cited_by_count":1,"area":"diffusion"},{"id":"2602.12769","title":"PixelRush: Ultra-Fast, Training-Free High-Resolution Image Generation via One-step Diffusion","created":"2026-02-13","cited_by_count":1,"area":"diffusion"},{"id":"2603.01019","title":"BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models","created":"2026-03-01","cited_by_count":1,"area":"diffusion"},{"id":"2603.08928","title":"TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion Transformers","created":"2026-03-09","cited_by_count":1,"area":"diffusion"},{"id":"2603.20828","title":"EruDiff: Refactoring Knowledge in Diffusion Models for Advanced Text-to-Image Synthesis","created":"2026-03-21","cited_by_count":1,"area":"diffusion"},{"id":"2605.20808","title":"Spatial Gram Alignment for Ultra-High-Resolution Image Synthesis","created":"2026-05-20","cited_by_count":1,"area":"diffusion"},{"id":"2606.08309","title":"Where the Score Lives: A Wavelet View of Diffusion","created":"2026-06-06","cited_by_count":1,"area":"diffusion"},{"id":"2509.25749","title":"ART-VITON: Measurement-Guided Latent Diffusion for Artifact-Free Virtual Try-On","created":"2025-09-30","cited_by_count":0,"area":"diffusion"},{"id":"2603.20700","title":"mmWave-Diffusion:A Novel Framework for Respiration Sensing Using Observation-Anchored Conditional Diffusion Model","created":"2026-03-21","cited_by_count":0,"area":"diffusion"},{"id":"2603.20741","title":"CTCal: Rethinking Text-to-Image Diffusion Models via Cross-Timestep Self-Calibration","created":"2026-03-21","cited_by_count":0,"area":"diffusion"},{"id":"2603.24270","title":"ScrollScape: Unlocking 32K Image Generation With Video Diffusion Priors","created":"2026-03-25","cited_by_count":0,"area":"diffusion"},{"id":"2604.09227","title":"Training-free, Perceptually Consistent Low-Resolution Previews with High-Resolution Image for Efficient Workflows of Diffusion Models","created":"2026-04-10","cited_by_count":0,"area":"diffusion"},{"id":"2605.19289","title":"What Makes Synthetic Data Effective in Image Segmentation","created":"2026-05-19","cited_by_count":0,"area":"diffusion"},{"id":"2606.19961","title":"Addressing Detail Bottlenecks in Latent Diffusion for RGB-to-SWIR Image Translation","created":"2026-06-18","cited_by_count":0,"area":"diffusion"},{"id":"2606.24025","title":"Information-Theoretic Classifier-Free Guidance with Adaptive Schedule Optimization","created":"2026-06-23","cited_by_count":0,"area":"diffusion"},{"id":"2607.06136","title":"Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing","created":"2026-07-07","cited_by_count":0,"area":"diffusion"},{"id":"2607.06590","title":"AI for Cultural Heritage Textiles: Fine-Tuned Latent Diffusion for Novel Ulos Motif Synthesis","created":"2026-07-06","cited_by_count":0,"area":"diffusion"},{"id":"2608.07003","title":"HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models","created":"2026-08-07","cited_by_count":0,"area":"diffusion"},{"id":"2610.05608","title":"Kandinsky 6.0 Video: Foundation Models for Synchronized Video and Audio Generation","created":"2026-10-04","cited_by_count":0,"area":"diffusion"},{"id":"2610.05816","title":"Level-of-Token Diffusion","created":"2026-10-05","cited_by_count":0,"area":"diffusion"},{"id":"2610.17227","title":"AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers","created":"2026-10-12","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}