{"total":24,"rows":[{"id":"2505.22705","title":"HiDream-I1: A High-Efficient Image Generative Foundation Model with Sparse Diffusion Transformer","created":"2025-05-28","cited_by_count":141,"area":"diffusion"},{"id":"2407.16655","title":"MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequence","created":"2024-07-23","cited_by_count":89,"area":"diffusion"},{"id":"2404.02747","title":"Faster Diffusion via Temporal Attention Decomposition","created":"2024-04-03","cited_by_count":54,"area":"diffusion"},{"id":"2407.20171","title":"Diffusion Feedback Helps CLIP See Better","created":"2024-07-29","cited_by_count":38,"area":"diffusion"},{"id":"2412.19853","title":"Conditional Balance: Improving Multi-Conditioning Trade-Offs in Image Generation","created":"2024-12-25","cited_by_count":9,"area":"diffusion"},{"id":"2605.12013","title":"L2P: Unlocking Latent Potential for Pixel Generation","created":"2026-05-12","cited_by_count":9,"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":"2505.19261","title":"Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning","created":"2025-05-25","cited_by_count":7,"area":"diffusion"},{"id":"2404.13299","title":"PCQA: A Strong Baseline for AIGC Quality Assessment Based on Prompt Condition","created":"2024-04-20","cited_by_count":6,"area":"diffusion"},{"id":"2412.12223","title":"Can video generation replace cinematographers? Research on the cinematic language of generated video","created":"2024-12-16","cited_by_count":6,"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":"2508.00756","title":"LeakyCLIP: Extracting Training Data from CLIP","created":"2025-08-01","cited_by_count":4,"area":"diffusion"},{"id":"2512.08505","title":"Early Estimation of Language to Latent Alignment in Diffusion Models","created":"2025-12-09","cited_by_count":4,"area":"diffusion"},{"id":"2407.15488","title":"DiffX: Guide Your Layout to Cross-Modal Generative Modeling","created":"2024-07-22","cited_by_count":3,"area":"diffusion"},{"id":"2502.18302","title":"LDGen: Enhancing Text-to-Image Synthesis via Large Language Model-Driven Language Representation","created":"2025-02-25","cited_by_count":3,"area":"diffusion"},{"id":"2406.04746","title":"PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance Prediction","created":"2024-06-07","cited_by_count":2,"area":"diffusion"},{"id":"2507.13708","title":"PoemTale Diffusion: Minimising Information Loss in Poem to Image Generation with Multi-Stage Prompt Refinement","created":"2025-07-18","cited_by_count":2,"area":"diffusion"},{"id":"2602.16132","title":"CHAI: CacHe Attention Inference for text2video","created":"2026-02-18","cited_by_count":2,"area":"diffusion"},{"id":"2506.10230","title":"Leveraging Clinical Text and Class Conditioning for 3D Prostate MRI Generation","created":"2025-06-11","cited_by_count":1,"area":"diffusion"},{"id":"2510.26799","title":"Masked Diffusion Captioning for Visual Feature Learning","created":"2025-10-30","cited_by_count":1,"area":"diffusion"},{"id":"2503.16376","title":"LaPIG: Cross-Modal Generation of Paired Thermal and Visible Facial Images","created":"2025-03-20","cited_by_count":0,"area":"diffusion"},{"id":"2504.03292","title":"FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized Refinement","created":"2025-04-04","cited_by_count":0,"area":"diffusion"},{"id":"2603.02172","title":"TerraDiT: Point-Conditioned Diffusion Transformer for Satellite Image Synthesis","created":"2026-03-02","cited_by_count":0,"area":"diffusion"},{"id":"2606.28421","title":"JuZhou 1.0 Technical Report: The First Edge-Native Text-to-Image Foundation Model Trained Entirely on China-Developed AI Accelerators","created":"2026-06-25","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}