{"total":16,"rows":[{"id":"2304.03283","title":"Diffusion Models as Masked Autoencoders","created":"2023-04-06","cited_by_count":71,"area":"diffusion"},{"id":"2305.15956","title":"Anomaly Detection with Conditioned Denoising Diffusion Models","created":"2023-05-25","cited_by_count":56,"area":"diffusion"},{"id":"2504.16064","title":"Boosting Generative Image Modeling via Joint Image-Feature Synthesis","created":"2025-04-22","cited_by_count":45,"area":"diffusion"},{"id":"2412.03439","title":"CleanDIFT: Diffusion Features without Noise","created":"2024-12-04","cited_by_count":44,"area":"diffusion"},{"id":"2210.06462","title":"Self-Guided Diffusion Models","created":"2022-10-12","cited_by_count":37,"area":"diffusion"},{"id":"2410.03755","title":"Denoising with a Joint-Embedding Predictive Architecture","created":"2024-10-02","cited_by_count":14,"area":"diffusion"},{"id":"2308.05695","title":"Masked Diffusion as Self-supervised Representation Learner","created":"2023-08-10","cited_by_count":11,"area":"diffusion"},{"id":"2312.02615","title":"Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models","created":"2023-12-05","cited_by_count":9,"area":"diffusion"},{"id":"2403.05196","title":"Denoising Autoregressive Representation Learning","created":"2024-03-08","cited_by_count":9,"area":"diffusion"},{"id":"2512.16636","title":"REGLUE Your Latents with Global and Local Semantics for Entangled Diffusion","created":"2025-12-18","cited_by_count":5,"area":"diffusion"},{"id":"2408.02983","title":"Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond","created":"2024-08-06","cited_by_count":4,"area":"diffusion"},{"id":"2309.01487","title":"GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation","created":"2023-09-04","cited_by_count":3,"area":"diffusion"},{"id":"2410.23834","title":"Denoising Diffusion Models for Anomaly Localization in Medical Images","created":"2024-10-31","cited_by_count":3,"area":"diffusion"},{"id":"2310.03937","title":"Diffusion Models as Masked Audio-Video Learners","created":"2023-10-05","cited_by_count":2,"area":"diffusion"},{"id":"2511.02793","title":"Diffusion Models are Robust Pretrainers","created":"2025-11-04","cited_by_count":1,"area":"diffusion"},{"id":"2610.02203","title":"Embedding Prediction Helps Image Generation","created":"2026-10-01","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}