{"total":16,"rows":[{"id":"2306.00637","title":"Wuerstchen: An Efficient Architecture for Large-Scale Text-to-Image Diffusion Models","created":"2023-06-01","cited_by_count":51,"area":"diffusion"},{"id":"2301.04802","title":"Diffusion-based Data Augmentation for Skin Disease Classification: Impact Across Original Medical Datasets to Fully Synthetic Images","created":"2023-01-12","cited_by_count":45,"area":"diffusion"},{"id":"2308.12453","title":"Augmenting medical image classifiers with synthetic data from latent diffusion models","created":"2023-08-23","cited_by_count":22,"area":"diffusion"},{"id":"2406.03720","title":"JIGMARK: A Black-Box Approach for Enhancing Image Watermarks against Diffusion Model Edits","created":"2024-06-06","cited_by_count":9,"area":"diffusion"},{"id":"2405.19201","title":"Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations","created":"2024-05-29","cited_by_count":5,"area":"diffusion"},{"id":"2410.00350","title":"Efficient Training of Large Vision Models via Advanced Automated Progressive Learning","created":"2024-09-06","cited_by_count":5,"area":"diffusion"},{"id":"2307.06507","title":"Improving Nonalcoholic Fatty Liver Disease Classification Performance With Latent Diffusion Models","created":"2023-07-13","cited_by_count":4,"area":"diffusion"},{"id":"2310.15952","title":"Improving Robustness and Reliability in Medical Image Classification with Latent-Guided Diffusion and Nested-Ensembles","created":"2023-10-24","cited_by_count":4,"area":"diffusion"},{"id":"2310.03937","title":"Diffusion Models as Masked Audio-Video Learners","created":"2023-10-05","cited_by_count":2,"area":"diffusion"},{"id":"2409.19371","title":"Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms","created":"2024-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2411.06441","title":"Detecting AutoEncoder is Enough to Catch LDM Generated Images","created":"2024-11-10","cited_by_count":1,"area":"diffusion"},{"id":"2511.21136","title":"Efficient Training for Human Video Generation with Entropy-Guided Prioritized Progressive Learning","created":"2025-11-26","cited_by_count":1,"area":"diffusion"},{"id":"2408.15386","title":"Multi-Feature Aggregation in Diffusion Models for Enhanced Face Super-Resolution","created":"2024-08-27","cited_by_count":0,"area":"diffusion"},{"id":"2505.09630","title":"Generative diffusion model surrogates for mechanistic agent-based biological models","created":"2025-05-01","cited_by_count":0,"area":"diffusion"},{"id":"2601.15041","title":"HyperNet-Adaptation for Diffusion-Based Test Case Generation","created":"2026-01-21","cited_by_count":0,"area":"diffusion"},{"id":"2607.16283","title":"GenSyn10: A Multi-Generative AI Dataset For Benchmarking Image Classification","created":"2026-07-10","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}