{"total":66,"rows":[{"id":"2105.05233","title":"Diffusion Models Beat GANs on Image Synthesis","created":"2021-05-11","cited_by_count":8255,"area":"diffusion"},{"id":"2006.09011","title":"Improved Techniques for Training Score-Based Generative Models","created":"2020-06-16","cited_by_count":1043,"area":"diffusion"},{"id":"2303.14420","title":"Human Preference Score: Better Aligning Text-to-Image Models with Human Preference","created":"2023-03-25","cited_by_count":287,"area":"diffusion"},{"id":"2208.09392","title":"Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise","created":"2022-08-19","cited_by_count":276,"area":"diffusion"},{"id":"2309.16948","title":"Denoising Diffusion Bridge Models","created":"2023-09-29","cited_by_count":178,"area":"diffusion"},{"id":"2308.09388","title":"Diffusion Models for Image Restoration and Enhancement: A Comprehensive Survey","created":"2023-08-18","cited_by_count":109,"area":"diffusion"},{"id":"2304.05390","title":"HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models","created":"2023-04-11","cited_by_count":95,"area":"diffusion"},{"id":"2411.09502","title":"Golden Noise for Diffusion Models: A Learning Framework","created":"2024-11-14","cited_by_count":92,"area":"diffusion"},{"id":"2405.16005","title":"PTQ4DiT: Post-training Quantization for Diffusion Transformers","created":"2024-05-25","cited_by_count":79,"area":"diffusion"},{"id":"2209.13167","title":"A Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images","created":"2022-09-27","cited_by_count":74,"area":"diffusion"},{"id":"2305.10853","title":"LDM3D: Latent Diffusion Model for 3D","created":"2023-05-18","cited_by_count":53,"area":"diffusion"},{"id":"2210.09292","title":"Efficient Diffusion Models for Vision: A Survey","created":"2022-10-07","cited_by_count":51,"area":"diffusion"},{"id":"2402.03666","title":"QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning","created":"2024-02-06","cited_by_count":49,"area":"diffusion"},{"id":"2405.15885","title":"Diffusion Bridge Implicit Models","created":"2024-05-24","cited_by_count":49,"area":"diffusion"},{"id":"2306.04632","title":"Designing a Better Asymmetric VQGAN for StableDiffusion","created":"2023-06-07","cited_by_count":45,"area":"diffusion"},{"id":"2210.06462","title":"Self-Guided Diffusion Models","created":"2022-10-12","cited_by_count":37,"area":"diffusion"},{"id":"2206.10935","title":"A Study on the Evaluation of Generative Models","created":"2022-06-22","cited_by_count":35,"area":"diffusion"},{"id":"2310.11142","title":"BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference","created":"2023-10-17","cited_by_count":35,"area":"diffusion"},{"id":"2503.11240","title":"Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards","created":"2025-03-14","cited_by_count":32,"area":"diffusion"},{"id":"2306.13384","title":"DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology","created":"2023-06-23","cited_by_count":29,"area":"diffusion"},{"id":"2309.02455","title":"RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model","created":"2023-09-03","cited_by_count":29,"area":"diffusion"},{"id":"2406.15735","title":"Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model","created":"2024-06-22","cited_by_count":28,"area":"diffusion"},{"id":"2302.02913","title":"Beyond Statistical Similarity: Rethinking Metrics for Deep Generative Models in Engineering Design","created":"2023-02-06","cited_by_count":23,"area":"diffusion"},{"id":"2410.22637","title":"Consistency Diffusion Bridge Models","created":"2024-10-30","cited_by_count":23,"area":"diffusion"},{"id":"2206.11474","title":"Entropy-driven Sampling and Training Scheme for Conditional Diffusion Generation","created":"2022-06-23","cited_by_count":20,"area":"diffusion"},{"id":"2505.18495","title":"Beyond Masked and Unmasked: Discrete Diffusion Models via Partial Masking","created":"2025-05-24","cited_by_count":20,"area":"diffusion"},{"id":"2306.02986","title":"Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models","created":"2023-06-05","cited_by_count":19,"area":"diffusion"},{"id":"2209.12753","title":"On Investigating the Conservative Property of Score-Based Generative Models","created":"2022-09-26","cited_by_count":16,"area":"diffusion"},{"id":"2412.14018","title":"SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation","created":"2024-12-18","cited_by_count":15,"area":"diffusion"},{"id":"2305.10722","title":"Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners","created":"2023-05-18","cited_by_count":14,"area":"diffusion"},{"id":"2405.19708","title":"Text Guided Image Editing with Automatic Concept Locating and Forgetting","created":"2024-05-30","cited_by_count":12,"area":"diffusion"},{"id":"2309.03729","title":"Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption","created":"2023-09-07","cited_by_count":11,"area":"diffusion"},{"id":"2403.12510","title":"Generalized Consistency Trajectory Models for Image Manipulation","created":"2024-03-19","cited_by_count":11,"area":"diffusion"},{"id":"2403.19140","title":"QNCD: Quantization Noise Correction for Diffusion Models","created":"2024-03-28","cited_by_count":11,"area":"diffusion"},{"id":"2305.18812","title":"DiffSketching: Sketch Control Image Synthesis with Diffusion Models","created":"2023-05-30","cited_by_count":10,"area":"diffusion"},{"id":"2407.10476","title":"Kinetic Typography Diffusion Model","created":"2024-07-15","cited_by_count":9,"area":"diffusion"},{"id":"2412.05722","title":"Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent","created":"2024-12-07","cited_by_count":9,"area":"diffusion"},{"id":"2505.01382","title":"Provable Efficiency of Guidance in Diffusion Models for General Data Distribution","created":"2025-05-02","cited_by_count":8,"area":"diffusion"},{"id":"2210.09549","title":"Swinv2-Imagen: Hierarchical Vision Transformer Diffusion Models for Text-to-Image Generation","created":"2022-10-18","cited_by_count":7,"area":"diffusion"},{"id":"2410.21273","title":"On Inductive Biases That Enable Generalization of Diffusion Transformers","created":"2024-10-28","cited_by_count":7,"area":"diffusion"},{"id":"2503.06426","title":"Federated Learning for Diffusion Models","created":"2025-03-09","cited_by_count":7,"area":"diffusion"},{"id":"2509.08628","title":"LADB: Latent Aligned Diffusion Bridges for Semi-Supervised Domain Translation","created":"2025-09-10","cited_by_count":7,"area":"diffusion"},{"id":"2410.06055","title":"RepLDM: Reprogramming Pretrained Latent Diffusion Models for High-Quality, High-Efficiency, High-Resolution Image Generation","created":"2024-10-08","cited_by_count":6,"area":"diffusion"},{"id":"2311.14097","title":"ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models","created":"2023-11-23","cited_by_count":5,"area":"diffusion"},{"id":"2407.03153","title":"An Efficient Framework for Crediting Data Contributors of Diffusion Models","created":"2024-06-09","cited_by_count":4,"area":"diffusion"},{"id":"2602.22570","title":"Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation","created":"2026-02-26","cited_by_count":4,"area":"diffusion"},{"id":"2309.14756","title":"On quantifying and improving realism of images generated with diffusion","created":"2023-09-26","cited_by_count":3,"area":"diffusion"},{"id":"2403.14429","title":"Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation","created":"2024-03-21","cited_by_count":3,"area":"diffusion"},{"id":"2502.20100","title":"Generative augmentations for improved cardiac ultrasound segmentation using diffusion models","created":"2025-02-27","cited_by_count":3,"area":"diffusion"},{"id":"2506.01368","title":"Synthetic Data Augmentation using Pre-trained Diffusion Models for Long-tailed Food Image Classification","created":"2025-06-02","cited_by_count":3,"area":"diffusion"},{"id":"2508.19581","title":"Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction","created":"2025-08-27","cited_by_count":3,"area":"diffusion"},{"id":"2509.24531","title":"Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis","created":"2025-09-29","cited_by_count":3,"area":"diffusion"},{"id":"2512.06353","title":"TreeQ: Pushing the Quantization Boundary of Diffusion Transformer via Tree-Structured Mixed-Precision Search","created":"2025-12-06","cited_by_count":3,"area":"diffusion"},{"id":"2605.17248","title":"Image-to-Video Diffusion: From Foundations to Open Frontiers","created":"2026-05-17","cited_by_count":3,"area":"diffusion"},{"id":"2308.16847","title":"Diffusion Models for Interferometric Satellite Aperture Radar","created":"2023-08-31","cited_by_count":2,"area":"diffusion"},{"id":"2407.07229","title":"Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative Models","created":"2024-07-09","cited_by_count":2,"area":"diffusion"},{"id":"2402.13369","title":"The Uncanny Valley: A Comprehensive Analysis of Diffusion Models","created":"2024-02-20","cited_by_count":1,"area":"diffusion"},{"id":"2412.01530","title":"Generative AI-based data augmentation for improved bioacoustic classification in noisy environments","created":"2024-12-02","cited_by_count":1,"area":"diffusion"},{"id":"2505.16875","title":"T2I-ConBench: Text-to-Image Benchmark for Continual Post-training","created":"2025-05-22","cited_by_count":1,"area":"diffusion"},{"id":"2508.13628","title":"DiffIER: Optimizing Diffusion Models with Iterative Error Reduction","created":"2025-08-19","cited_by_count":1,"area":"diffusion"},{"id":"2606.04939","title":"UAT: Unified Audio-Text Diffusion for Audio Generation, Editing, and Captioning","created":"2026-06-03","cited_by_count":1,"area":"diffusion"},{"id":"2411.12306","title":"Diffusion Product Quantization","created":"2024-11-19","cited_by_count":0,"area":"diffusion"},{"id":"2503.02508","title":"Q&C: When Quantization Meets Cache in Efficient Image Generation","created":"2025-03-04","cited_by_count":0,"area":"diffusion"},{"id":"2508.09598","title":"Images Speak Louder Than Scores: Failure Mode Escape for Enhancing Generative Quality","created":"2025-08-13","cited_by_count":0,"area":"diffusion"},{"id":"2603.07626","title":"Accelerating Diffusion Models for Generative AI Applications with Silicon Photonics","created":"2026-03-08","cited_by_count":0,"area":"diffusion"},{"id":"2603.26783","title":"Can We Change the Stroke Size for Easier Diffusion?","created":"2026-03-25","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}